Items where Subject is "HA Statistics"

Library of Congress subjects (102278)

H Social Sciences (61997)

HA Statistics (1633) Year LSE creators Item Type Departments File available

Article

Aamodt, Geir, Samuelsen, Sven O, Skrondal, Anders (2006). A simulation study of three methods for affecting disease clusters. International Journal of Health Geographics, 5(15), p. 15. https://doi.org/10.1186/1476-072X-5-15

Abdey, James (2013). Discussion paper: P-value likelihood ratios for evidence evaluation. Law, Probability and Risk, 12(2), 135-146. https://doi.org/10.1093/lpr/mgs033

Abell, Peter (2008). History, case studies, statistics, and causal inference. European Sociological Review, 25(5), 561-567. https://doi.org/10.1093/esr/jcn072

Acciaio, Beatrice, Veraguas, Julio Backhoff, Jia, Junchao (2021). Cournot-Nash equilibrium and optimal transport in a dynamic setting. SIAM Journal on Control and Optimization, 59(3), 2273 - 2300. https://doi.org/10.1137/20M1321462

Acciaio, B., Backhoff-Veraguas, J., Zalashko, A. (2020). Causal optimal transport and its links to enlargement of filtrations and continuous-time stochastic optimization. Stochastic Processes and Their Applications, 130(5), 2918 - 2953. https://doi.org/10.1016/j.spa.2019.08.009 picture_as_pdf

Acciaio, Beatrice, Guyon, Julien (2020). Short communication: inversion of convex ordering: local volatility does not maximise the price of VIX futures. SIAM Journal on Financial Mathematics, 11(1), SC1 - SC13. https://doi.org/10.1137/19M129303X picture_as_pdf

Acciaio, Beatrice, Larsson, Martin (2017). Semi-static completeness and robust pricing by informed investors. Annals of Applied Probability, 27(4), 2270-2304. https://doi.org/10.1214/16-AAP1259

Adler, Matthew (2020). What should we spend to save lives in a pandemic? A critique of the value of statistical life. Covid Economics, (33), 1-45. picture_as_pdf

Adusumilli, Karun, Otsu, Taisuke (2017). Empirical likelihood for random sets. Journal of the American Statistical Association, 112(519), 1064 - 1075. https://doi.org/10.1080/01621459.2016.1188107

Adusumilli, Karun, Otsu, Taisuke, Qiu, Chen (2023). Reweighted nonparametric likelihood inference for linear functionals. Electronic Journal of Statistics, 17(2), 2810 - 2848. https://doi.org/10.1214/23-EJS2168 picture_as_pdf

Alessi, Lucia, Barigozzi, Matteo, Capasso, Marco (2011). Nonfundamentalness in structural econometric models: a review. International Statistical Review, 79(1), 16-47. https://doi.org/10.1111/j.1751-5823.2011.00131.x

Alfonzetti, Giuseppe, Bellio, Ruggero, Chen, Yunxiao, Moustaki, Irini (2025). Pairwise stochastic approximation for confirmatory factor analysis of categorical data. British Journal of Mathematical and Statistical Psychology, 78(1), 22 - 43. https://doi.org/10.1111/bmsp.12347 picture_as_pdf

Alfonzetti, Giuseppe, Bellio, Ruggero, Chen, Yunxiao, Moustaki, Irini (2025). When composite likelihood meets stochastic approximation. Journal of the American Statistical Association, 120(551), 1906 - 1918. https://doi.org/10.1080/01621459.2024.2436219 picture_as_pdf

Ali Ghazali, Syed Shakir, Skinner, Chris J., Tahir, M. H. (2007). Three-way stratification sampling design when one of the stratifying variables is time. Australian and New Zealand Journal of Statistics, 49(4), 385-395. https://doi.org/10.1111/j.1467-842X.2007.00489.x

Allen, Rebecca, Vignoles, Anna (2007). What does an index of school segregation measure? Oxford Review of Education, 33(5), 643-688. https://doi.org/10.1080/03054980701366306

Alvaredo, Facundo, Atkinson, Anthony B., Piketty, Thomas, Saez, Emmanuel (2013). The top 1 percent in international and historical perspective. Journal of Economic Perspectives, 27(3), 3-20. https://doi.org/10.1257/jep.27.3.3

Amiel, Yoram, Cowell, F (1997). The measurement of poverty : an experimental questionnaire investigation. Empirical Economics, 22(4), 571-588.

Amiel, Yoram, Cowell, Frank (1998). Distributional orderings and the transfer principle : a re-examination. Research on Economic Inequality, 8, 195-215.

Amiel, Yoram, Cowell, Frank A., Gaertner, Wulf (2009). To be or not to be involved: a questionnaire-experimental view on Harsanyi’s utilitarian ethics. Social Choice and Welfare, 32(2), 299-316. https://doi.org/10.1007/s00355-008-0324-x

Anagnostopoulos, Fotios, Yfantopoulos, John, Moustaki, Irini, Niakas, Dimitris (2013). Psychometric and factor analytic evaluation of the 15D health-related quality of life instrument: the case of Greece. Quality of Life Research, 22(8), 1973-1986. https://doi.org/10.1007/s11136-013-0348-2

Anastasiou, Andreas (2017). Bounds for the normal approximation of the maximum likelihood estimator from m -dependent random variables. Statistics and Probability Letters, 129, 171-181. https://doi.org/10.1016/j.spl.2017.04.022

Anastasiou, Andreas, Cribben, Ivor, Fryzlewicz, Piotr (2022). Cross-covariance isolate detect: a new change-point method for estimating dynamic functional connectivity. Medical Image Analysis, 75, https://doi.org/10.1016/j.media.2021.102252 picture_as_pdf

Anastasiou, Andreas, Fryzlewicz, Piotr (2022). Detecting multiple generalized change-points by isolating single ones. Metrika, 85(2), 141 - 174. https://doi.org/10.1007/s00184-021-00821-6 picture_as_pdf

Anderson, Gordon, Linton, Oliver, Leo, Teng Wah (2012). A polarization-cohesion perspective on cross-country convergence. Journal of Economic Growth, 17(1), 49-69. https://doi.org/10.1007/s10887-011-9072-3

Anthropelos, Michail, Kardaras, Constantinos (2017). Equilibrium in risk-sharing games. Finance and Stochastics, 21(3), 815-865. https://doi.org/10.1007/s00780-017-0323-9

Antier, S, Barynova, K, Fryzlewicz, Piotr, Lauchard, C, Marchal-Duval, G (2020). Detection of gamma-ray transients with wild binary segmentation. Monthly Notices of the Royal Astronomical Society, 493(3), 4428 – 4441. https://doi.org/10.1093/mnras/staa263 picture_as_pdf

Antoniadis, Anestis, Fryzlewicz, Piotr (2006). Parametric modelling of thresholds across scales in wavelet regression. Biometrika, 93(2), 465-471. https://doi.org/10.1093/biomet/93.2.465

Antoniadis, Anestis, Fryzlewicz, Piotr, Letué, Frédérique (2010). The Dantzig selector in Cox's proportional hazards model. Scandinavian Journal of Statistics, 37(4), 531-552. https://doi.org/10.1111/j.1467-9469.2009.00685.x

Ark, L. Andries, Bergsma, Wicher P. (2010). A note on stochastic ordering of the latent trait using the sum of polytomous item scores. Psychometrika, 75(2), 272-279. https://doi.org/10.1007/s11336-010-9147-7

Arouca, Murilo Guerreiro, Neves, Isa Beatriz Da Cruz, Barreto, Marcos Ennes, Cruz, Carlos Daniel Santana, Brito, Ricardo Lustosa (2021). Gamification frameworks and models for health contexts: an integrative review. International Journal for Innovation Education and Research, 9(9), 374 - 386. https://doi.org/10.31686/ijier.vol9.iss9.3350 picture_as_pdf

Atkinson, A. C., Fedorov, Valerii V., Herzberg, Agnes M., Zhang, Rongmei (2012). Elemental information matrices and optimal experimental design for generalized regression models. Journal of Statistical Planning and Inference, 144(1), 47-54. https://doi.org/10.1016/j.jspi.2012.09.012

Atkinson, Anthony (2001). Author's reply [to the letter to the editor by Taves about 1999 paper in "statistics in medicine"]. Statistics in Medicine, 20(5), 816-818. https://doi.org/10.1002/sim.865

Atkinson, Anthony B., Gomulka, J., Stern, Nicholas (1990). Spending on alcohol: evidence from the family expenditure survey 1970-1983. The Economic Journal, 100(402), 808-827.

Atkinson, Anthony C. (2012). Optimum experimental designs for choosing between competitive and non competitive models of enzyme inhibition. Communications in Statistics - Theory and Methods, 41(13-14), 2283-2296. https://doi.org/10.1080/03610926.2011.593720

Atkinson, Anthony C. (2014). Selecting a biased-coin design. Statistical Science, 29(1), 144-163. https://doi.org/10.1214/13-STS449

Atkinson, Anthony C., Bailey, R. A. (2001). One hundred years of the design of experiments on and off the pages of "Biometrika". Biometrika, 88(1), 53-97. https://doi.org/10.1093/biomet/88.1.53

Atkinson, Anthony C., Bogacka, Barbara (2014). Optimum designs for the equality of parameters in enzyme inhibition kinetic models. Journal of Statistical Planning and Inference, 144(1), 47-54. https://doi.org/10.1016/j.jspi.2012.07.011

Atkinson, Anthony C., Cheng, Tsung-Chi (2000). On robust linear regression with incomplete data. Computational Statistics and Data Analysis, 33(4), 361-380. https://doi.org/10.1016/S0167-9473(99)00061-4

Atkinson, Anthony C., Riani, Marco (2001). Regression diagnostics for binomial data from the forward search. Journal of the Royal Statistical Society. Series D: The Statistician, 50(1), 63-78. https://doi.org/10.1111/1467-9884.00261

Atkinson, Giles (1998). Discussion at the meeting on 'Alternatives to economic statistics as indicators of national well-being'. Journal of the Royal Statistical Society. Series A: Statistics in Society, 161(3), p. 307. https://doi.org/10.1111/1467-985X.00110

Atkinson, Anthony C., Biswas, Atanu (2017). Optimal response and covariate-adaptive biased-coin designs for clinical trials with continuous multivariate or longitudinal responses. Computational Statistics and Data Analysis, 113, 297-310. https://doi.org/10.1016/j.csda.2016.05.022

Atkinson, Anthony C., Cerioli, Andrea, Riani, Marco (2016). Discussion of “asymptotic theory of outlier detection algorithms for linear time series regression models” by Johansen and Nielsen. Scandinavian Journal of Statistics, 43(2), 349-352. https://doi.org/10.1111/sjos.12210

Atkinson, Anthony C., Corbellini, Aldo, Riani, Marco (2017). Robust Bayesian regression with the forward search: theory and data analysis. Test, 26(4), 869-886. https://doi.org/10.1007/s11749-017-0542-6

Atkinson, Anthony C., Duarte, Belmiro P.M., Pedrosa, David, van Munster, Marlena (2023). Randomizing a clinical trial in neuro-degenerative disease. Contemporary Clinical Trials Communications, 33, https://doi.org/10.1016/j.conctc.2023.101140 picture_as_pdf

Atkinson, Anthony C., Riani, Marco, Cerioli, Andrea (2017). Cluster detection and clustering with random start forward searches. Journal of Applied Statistics, 45(5), 777-798. https://doi.org/10.1080/02664763.2017.1310806

Atkinson, Anthony C., Riani, Marco, Corbellini, Aldo (2020). The analysis of transformations for profit-and-loss data. Journal of the Royal Statistical Society. Series C: Applied Statistics, 69(2), 251 - 275. https://doi.org/10.1111/rssc.12389 picture_as_pdf

Atkinson, Anthony C., Riani, Marco, Corbellini, Aldo (2021). The box-cox transformation: review and extensions. Statistical Science, 36(2), 239 - 255. https://doi.org/10.1214/20-STS778 picture_as_pdf

Aubin-Frankowski, Pierre-Cyril, Szabo, Zoltan (2022). Handling hard affine SDP shape constraints in RKHSs. Journal of Machine Learning Research, picture_as_pdf

Ayyar, Sree, Matsushita, Yukitoshi, Otsu, Taisuke (2025). Conditional likelihood ratio test with many weak instruments. Econometric Theory, https://doi.org/10.1017/S0266466625000088 picture_as_pdf

Azadkia, Mona, Chatterjee, Sourav (2021). A simple measure of conditional dependence. Annals of Statistics, https://doi.org/10.1214/21-AOS2073 picture_as_pdf

Aïd, René, Campi, Luciano, Langrené, Nicolas (2013). A structural risk-neutral model for pricing and hedging electricity derivatives. Mathematical Finance, 23(3), 387-438. https://doi.org/10.1111/j.1467-9965.2011.00507.x

Aïd, René, Basei, Matteo, Callegaro, Giorgia, Campi, Luciano, Vargiolu, Tiziano (2020). Nonzero-sum stochastic differential games with impulse controls: a verification theorem with applications. Mathematics of Operations Research, 45(1), 205 - 232. https://doi.org/10.1287/moor.2019.0989 picture_as_pdf

Aïd, René, Campi, Luciano, Langrené, Nicolas, Pham, Huyên (2014). A probabilistic numerical method for optimal multiple switching problems in high dimension. SIAM Journal on Financial Mathematics, 5(1), 191-231. https://doi.org/10.1137/120897298

Bai, Yihang, Cao, Mengqiu, Wang, Ruoyu, Liu, Yuqi, Wang, Seunghyeon (2022). How street greenery facilitates active travel for university students. Journal of Transport and Health, 26, https://doi.org/10.1016/j.jth.2022.101393 picture_as_pdf

Bajgar, Matej, Criscuolo, Chiara, Timmis, Jonathan (2025). Intangibles and industry concentration: a cross-country analysis. Oxford Bulletin of Economics and Statistics, https://doi.org/10.1111/obes.12659 picture_as_pdf

Bakk, Zsuzsa, Di Mari, Roberto, Oser, Jennifer, Kuha, Jouni (2022). Two-stage multilevel latent class analysis with covariates in the presence of direct effects. Structural Equation Modeling, 29(2), 267 - 277. https://doi.org/10.1080/10705511.2021.1980882 picture_as_pdf

Bakk, Zsuzsa, Kuha, Jouni (2020). Relating latent class membership to external variables: an overview. British Journal of Mathematical and Statistical Psychology, https://doi.org/10.1111/bmsp.12227 picture_as_pdf

Bakk, Zsuzsa, Kuha, Jouni (2018). Two-step estimation of models between latent classes and external variables. Psychometrika, 83(4), 871-892. https://doi.org/10.1007/s11336-017-9592-7

Bandiera, Oriana, Caprio, Gerard, Honohan, Patrick, Schiantarelli, Fabio (2000). Does financial reform raise or reduce saving? Review of Economics and Statistics, 82(2), 239-263. https://doi.org/10.1162/003465300558768

Baranowski, Rafal, Chen, Yining, Fryzlewicz, Piotr (2024). Multiscale autoregression on adaptively detected timescales. Statistica Sinica, [In Press] picture_as_pdf

Baranowski, Rafal, Chen, Yining, Fryzlewicz, Piotr (2020). Ranking-based variable selection for high-dimensional data. Statistica Sinica, 30(3), 1485 - 1516. https://doi.org/10.5705/ss.202017.0139

Barclay, Kieron J. (2018). The birth order paradox: sibling differences in educational attainment. Research in Social Stratification and Mobility, 54, 56-65. https://doi.org/10.1016/j.rssm.2018.02.001

Barclay, Kieron, Keenan, Katherine, Grundy, Emily, Kolk, Martin, Myrskylä, Mikko (2016). Reproductive history and post-reproductive mortality: a sibling comparison analysis using Swedish register data. Social Science & Medicine, 155, 82-92. https://doi.org/10.1016/j.socscimed.2016.02.043

Barigozzi, Matteo, Alessi, Lucia, Capasso, Marco, Fagiolo, Giorgio (2012). The distribution of household consumption-expenditure budget shares. Structural Change and Economic Dynamics, 23(1), 69-91. https://doi.org/10.1016/j.strueco.2011.09.003

Barigozzi, Matteo, Fagiolo, Giorgio, Garlaschelli, Diego (2010). Multinetwork of international trade: a commodity-specific analysis. Physical Review E, 81(4), 1-23. https://doi.org/10.1103/PhysRevE.81.046104

Barigozzi, Matteo, Gallo, Giampiero M., Brownlees, Christian T., Veredas, David (2014). Disentangling systematic and idiosyncratic dynamics in panels of volatility measures. Journal of Econometrics, 182(2), 364-384. https://doi.org/10.1016/j.jeconom.2014.05.017

Barigozzi, Matteo, Speciale, Biagio (2011). Immigrants' legal status, permanence in the destination country and the distribution of consumption expenditure. Applied Economics Letters, 18(14), 1341-1347. https://doi.org/10.1080/13504851.2010.537618

Barigozzi, Matteo, Brownlees, Christian T. (2018). Nets: network estimation for time series. Journal of Applied Econometrics, https://doi.org/10.1002/jae.2676 picture_as_pdf

Barigozzi, Matteo, Cho, Haeran, Fryzlewicz, Piotr (2018). Simultaneous multiple change-point and factor analysis for high-dimensional time series. Journal of Econometrics, 206(1), 187-225. https://doi.org/10.1016/j.jeconom.2018.05.003

Barigozzi, Matteo, Hallin, Mark (2015). Generalized dynamic factor models and volatilities: recovering the market volatility shocks. Econometrics Journal, 19(1), C33-C60. https://doi.org/10.1111/ectj.12047

Barigozzi, Matteo, Moneta, Alessio (2016). Identifying the independent sources of consumption variation. Journal of Applied Economics, 31(2), 420-449. https://doi.org/10.1002/jae.2441

Barrieu, Pauline, Bensusan, Harry, El Karoui, Nicole, Hillairet, Caroline, Loisel, Stephane, Ravanelli, Claudia, Salhi, Yahia (2012). Understanding, modelling and managing longevity risk: key issues and main challenges. Scandinavian Actuarial Journal, 3, 203-231. https://doi.org/10.1080/03461238.2010.511034

Barrieu, Pauline, Cazanave, Nicolas, El Karoui, Nicole (2008). Closedness results for BMO semi-martingales and application to quadratic BSDE's. Comptes Rendus Mathématique, 346(15-16), 881-886. https://doi.org/10.1016/j.crma.2008.06.010

Barrieu, Pauline, El Karoui, Nicole (2013). Monotone stability of quadratic semimartingales with applications to general quadratic BSDEs. Annals of Probability, 41(3B), 1831-1863. https://doi.org/10.1214/12-AOP743

Barrieu, Pauline, El Karoui, Nicole (2002). Reinsuring climatic risk using optimally designed weather bonds. The Geneva Papers on Risk and Insurance Theory, 27(2), 87-113. https://doi.org/10.1023/A:1021944109402

Barrieu, Pauline, Fehr, Max (2014). Market-consistent modeling for cap-and-trade schemes and application to option pricing. Operations Research, 62(2), 234-249. https://doi.org/10.1287/opre.2013.1242

Barrieu, Pauline, Schoutens, Wim (2006). Iterates of the infinitesimal generator and space-time harmonic polynomials of a Markov process. Journal of Computational and Applied Mathematics, 186(1), 300-323. https://doi.org/10.1016/j.cam.2005.04.014

Barrieu, Pauline, Bellamy, N. (2007). Optimal hitting time and perpetual option in a non-Lévy model: application to real options. Advances in Applied Probability, 39(2), 510-530. https://doi.org/10.1239/aap/1183667621

Barrieu, Pauline, Veraart, Luitgard A. M. (2016). Pricing q-forward contracts: an evaluation of estimation window and pricing method under different mortality models. Scandinavian Actuarial Journal, 2016(2), 146-166. https://doi.org/10.1080/03461238.2014.916228

Baruník, Jozef, Bevilacqua, Mattia, Tunaru, Radu (2022). Asymmetric network connectedness of fears. Review of Economics and Statistics, 104(6), 1304 - 1316. https://doi.org/10.1162/rest_a_01003 picture_as_pdf

Bassier, Ihsaan, Manning, Alan, Petrongolo, Barbara (2025). Vacancy duration and wages. Review of Economics and Statistics, 1-28. https://doi.org/10.1162/rest_a_01580 picture_as_pdf

Bates, Ron A., Maruri-Aguilar, Hugo, Wynn, Henry P. (2014). Smooth supersaturated models. Journal of Statistical Computation and Simulation, 84(11), 2453-2464. https://doi.org/10.1080/00949655.2013.823428

Batu, Tugkan, Berenbrink, Petra, Sohler, Christian (2009). A sublinear-time approximation scheme for bin packing. Theoretical Computer Science, 410(47-49), 5082-5092. https://doi.org/10.1016/j.tcs.2009.08.006

Baurdoux, Erik J., Schaik, Kees (2014). Predicting the time at which a Lévy process attains its ultimate supremum. Acta Applicandae Mathematicae, 134(1), 21-44. https://doi.org/10.1007/s10440-014-9867-2

Baurdoux, Erik J., Chen, Nan, Surya, Budhi, Yamazak, Kazutoshi (2015). Optimal double stopping of a Brownian bridge. Advances in Applied Probability, 47(4), 1212-1234. https://doi.org/10.1239/aap/1449859807

Baurdoux, Erik J., Palmowski, Z, Pistorius, Martijn R (2017). On future drawdowns of Lévy processes. Stochastic Processes and Their Applications, 127(8), 2679-2698. https://doi.org/10.1016/j.spa.2016.12.008

Baurdoux, Erik J., Pedraza, José M. (2024). Lp optimal prediction of the last zero of a spectrally negative Lévy process. Annals of Applied Probability, 34(1B), 1350 - 1402. https://doi.org/10.1214/23-AAP1994 picture_as_pdf

Baurdoux, Erik J., Pedraza, José M. (2025). On the last zero process with an application in corporate bankruptcy. Advances in Applied Probability, 1 - 48. https://doi.org/10.1017/apr.2025.22 picture_as_pdf

Baurdoux, Erik J., Pedraza, José M. (2023). Predicting the last zero before an exponential time of a spectrally negative Lévy process. Advances in Applied Probability, 55(2), 611 - 642. https://doi.org/10.1017/apr.2022.47 picture_as_pdf

Baurdoux, Erik J., Yamazaki, Kazutoshi (2015). Optimality of doubly reflected Lévy processes in singular control. Stochastic Processes and Their Applications, 125(7), 2727-2751. https://doi.org/10.1016/j.spa.2015.01.011

Bayraktar, Erhan, Xing, Hao (2009). Analysis of the optimal exercise boundary of American options for jump diffusions. SIAM Journal on Mathematical Analysis, 41(2), 825-860. https://doi.org/10.1137/080712519

Bayraktar, Erhan, Xing, Hao (2010). On the uniqueness of classical solutions of Cauchy problems. Proceedings of the American Mathematical Society, 138(06), 2061-2064. https://doi.org/10.1090/S0002-9939-10-10306-2

Bayraktar, Erhan, Xing, Hao (2009). Pricing American options for jump diffusions by iterating optimal stopping problems for diffusions. Mathematical Methods of Operations Research, 70(3), 505-525. https://doi.org/10.1007/s00186-008-0282-1

Bayraktar, Erhan, Xing, Hao (2010). Pricing Asian options for jump diffusion. Mathematical Finance, 21(1), 117-143. https://doi.org/10.1111/j.1467-9965.2010.00426.x

Bayraktar, Erhan, Xing, Hao (2012). Regularity of the optimal stopping problem for jump diffusions. SIAM Journal on Control and Optimization, 50(3), 1337-1357. https://doi.org/10.1137/100810915

Bayraktar, Erhan, Kardaras, Constantinos, Xing, Hao (2012). Valuation equations for stochastic volatility models. SIAM Journal on Financial Mathematics, 3(1), 351-373. https://doi.org/10.1137/110842302

Beiser-McGrath, Liam F. (2015). Estimating Onsets of Binary Events in Panel Data. Political Analysis, 23(4), 534 - 549. https://doi.org/10.1093/pan/mpv019

Beiser-McGrath, Janina, Beiser-McGrath, Liam F. (2020). Problems with products? Control strategies for models with interaction and quadratic effects. Political Science Research and Methods, 8(4), 707 - 730. https://doi.org/10.1017/psrm.2020.17 picture_as_pdf

Beiser-McGrath, Liam F. (2020). Separation and rare events. Political Science Research and Methods, 10(2), 428 - 437. https://doi.org/10.1017/psrm.2020.46 picture_as_pdf

Belotti, Federico, Deb, Partha, Manning, Willard G., Norton, Edward C. (2015). twopm: two-part models. Stata Journal, 15(1), 3-20.

Benedetti, Giuseppe, Campi, Luciano (2016). Utility indifference valuation for non-smooth payoffs with an application to power derivatives. Applied Mathematics and Optimization, 73(2), 349-389. https://doi.org/10.1007/s00245-015-9306-4

Berger, J., Smith, Leonard A. (2018). Uncertainty quantification. Annual Review of Statistics and Its Application,

Berger, Yves G., Skinner, Chris J. (2003). Variance estimation for a low income proportion. Journal of the Royal Statistical Society. Series C: Applied Statistics, 52(4), 457-468. https://doi.org/10.1111/1467-9876.00417

Berger, Yves G., Skinner, Chris J. (2005). A jackknife variance estimator for unequal probability sampling. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 67(1), 79-89. https://doi.org/10.1111/j.1467-9868.2005.00489.x

Bergin, A., Chapman, S. C., Watkins, N. W., Moloney, N. R., Gjerloev, J. W. (2023). Extreme event statistics in Dst, SYM-H, and SMR geomagnetic indices. Space Weather, 21(3). https://doi.org/10.1029/2022SW003304 picture_as_pdf

Bergsma, Wicher (2013). A bias-correction for Cramér’s and Tschuprow’s. Journal of the Korean Statistical Society, 42(3), 323-328. https://doi.org/10.1016/j.jkss.2012.10.002

Bergsma, Wicher P., Rudas, Tamas (2002). Marginal models for categorical data. Annals of Statistics, 30(1), 140-159. https://doi.org/10.1214/aos/1015362188

Bergsma, W. P., Aris, E. M. D., Tibaldi, F. S. (2013). Linear Categorical Marginal Modeling of solicited symptoms in vaccine clinical trials. Statistics in Biopharmaceutical Research, 5(1), 27-37. https://doi.org/10.1080/10496491.2012.738111

Bergsma, Wicher (2020). Regression with I-priors. Econometrics and Statistics, 14, 89 - 111. https://doi.org/10.1016/j.ecosta.2019.10.002 picture_as_pdf

Beskos, Alexandros, Kalogeropoulos, Konstantinos, Pazos, Erik (2013). Advanced MCMC methods for sampling on diffusion pathspace. Stochastic Processes and Their Applications, 123(4), 1415-1453. https://doi.org/10.1016/j.spa.2012.12.001

Besley, Timothy, Fetzer, Thiemo, Mueller, Hannes (2024). How big is the media multiplier? Evidence from dyadic news data. Review of Economics and Statistics, https://doi.org/10.1162/rest_a_01415 picture_as_pdf

Besley, Timothy, Jensen, Anders Ditlev, Persson, Torsten (2021). Norms, enforcement, and tax evasion. Review of Economics and Statistics, 1 - 28. https://doi.org/10.1162/rest_a_01123 picture_as_pdf

Bevan, Gwyn, De Poli, Chiara, Keng, Mi Jun, Raine, Rosalind (2020). How valid are projections of the future prevalence of diabetes? Rapid reviews of prevalence-based and Markov chain models and comparisons of different models' projections for England. BMJ Open, 10(3). https://doi.org/10.1136/bmjopen-2019-033483 picture_as_pdf

Beven, Keith, Buytaert, Wouter, Smith, Leonard A. (2012). On virtual observatories and modelled realities (or why discharge must be treated as a virtual variable). Hydrological Processes, 26(12), 1905-1908. https://doi.org/10.1002/hyp.9261

Bevilacqua, Mattia, Tunaru, Radu (2021). The SKEW index: extracting what has been left. Journal of Financial Stability, 53, https://doi.org/10.1016/j.jfs.2020.100816 picture_as_pdf

Bhimani, Alnoor (2015). Exploring big data’s strategic consequences. Journal of Information Technology, 30(1), 66-69. https://doi.org/10.1057/jit.2014.29

Bhuyan, Prajamitra, Jana, Kaushik, McCoy, Emma J. (2023). Causal analysis at extreme quantiles with application to London traffic flow data. Journal of the Royal Statistical Society. Series C: Applied Statistics, 72(5), 1452 - 1474. https://doi.org/10.1093/jrsssc/qlad080 picture_as_pdf

Biagini, Sara, Bouchard, Bruno, Kardaras, Constantinos, Nutz, Marcel (2017). Robust fundamental theorem for continuous processes. Mathematical Finance, 27(4), 963-987. https://doi.org/10.1111/mafi.12110 picture_as_pdf

Bian, Zeyu, Shi, Chengchun, Qi, Zhengling, Wang, Lan (2025). Off-policy evaluation in doubly inhomogeneous environments. Journal of the American Statistical Association, 120(550), 1102 - 1114. https://doi.org/10.1080/01621459.2024.2395593 picture_as_pdf

Bijlsma, Maarten J., Wilson, Ben (2020). Modelling the socio-economic determinants of fertility: a mediation analysis using the parametric g-formula. Journal of the Royal Statistical Society. Series A: Statistics in Society, 183(2), 493 - 513. https://doi.org/10.1111/rssa.12520 picture_as_pdf

Bingham, N. H., Ostaszewski, A. J. (2009). Automatic continuity: subadditivity, convexity, uniformity. Aequationes Mathematicae, 78(3), 257-270. https://doi.org/10.1007/s00010-009-2982-x

Bingham, N. H., Ostaszewski, A. J. (2009). The Index Theorem of topological regular variation and its applications. Journal of Mathematical Analysis and Applications, 358(2), 238-248. https://doi.org/10.1016/j.jmaa.2009.03.071

Bingham, N. H., Ostaszewski, A. J. (2009). Infinite combinatorics in function spaces: category methods. Publications de L’institut Mathématique, 86(100), 55-73. https://doi.org/10.2298/PIM0900055B

Blaser, Rico, Fryzlewicz, Piotr (2016). Random rotation ensembles. Journal of Machine Learning Research, 17(4), 1-26.

Blaser, Rico, Fryzlewicz, Piotr (2021). Regularizing axis-aligned ensembles via data rotations that favor simpler learners. Statistics and Computing, 31(2). https://doi.org/10.1007/s11222-020-09973-3 picture_as_pdf

Bogacka, Barbara, Patan, Maciej, Johnson, Patrick, J, Youdim, K, Atkinson, Anthony C. (2011). Optimum design of experiments for enzyme inhibition kinetic models. Journal of Biopharmaceutical Statistics, 21(3), 555-572. https://doi.org/10.1080/10543406.2010.489979

Borges, Dérick G. F., Coutinho, Eluã R., Cerqueira-Silva, Thiago, Grave, Malú, Vasconcelos, Adriano O., Landau, Luiz, Coutinho, Alvaro L. G. A., Ramos, Pablo Ivan P., Barral-Netto, Manoel & Pinho, Suani T. R. et al (2025). Combining machine learning and dynamic system techniques to early detection of respiratory outbreaks in routinely collected primary healthcare records. BMC Medical Research Methodology, 25(1). https://doi.org/10.1186/s12874-025-02542-0 picture_as_pdf

Bosch Jover, Oriol, Revilla, Melanie (2022). When survey science met web tracking: presenting an error framework for metered data. Journal of the Royal Statistical Society. Series A: Statistics in Society, 185(Suppl 2), S408 - S436. https://doi.org/10.1111/rssa.12956 picture_as_pdf

Bosch Jover, Oriol, Revilla, Melanie, Qureshi, Danish Daniel, Höhne, Jan (2022). A new experiment on the use of images to answer web survey questions. Journal of the Royal Statistical Society. Series A: Statistics in Society, 185(3), 955 - 980. https://doi.org/10.1111/rssa.12856 picture_as_pdf

Bosch Jover, Oriol, Sturgis, Patrick, Kuha, Jouni, Revilla, Melanie (2025). Uncovering digital trace data biases: tracking undercoverage in web tracking data. Communication Methods and Measures, 19(2), 157 - 177. https://doi.org/10.1080/19312458.2024.2393165 picture_as_pdf

Bottazzi, Giulio, Cordoni, Francesco, Livieri, Giulia, Marmi, Stefano (2023). Uncertainty in firm valuation and a cross-sectional misvaluation measure. Annals of Finance, 19(1), 63 - 93. https://doi.org/10.1007/s10436-022-00423-w picture_as_pdf

Boylan, Sally, Arsenault, Catherine, Barreto, Marcos, Bozza, Fernando A, Fonseca, Adalton, Forde, Eoghan, Hookham, Lauren, Humphreys, Georgina S, Ichihara, Maria Yury & Le doare, Kirsty et al (2024). Data challenges for international health emergencies: lessons learned from ten international COVID-19 driver projects. The Lancet Digital Health, 6(5), e354-e366. https://doi.org/10.1016/S2589-7500(24)00028-1 picture_as_pdf

Bretscher, Lorenzo, Julliard, Christian, Rosa, Carlo (2016). Human capital and international portfolio diversification: a reappraisal. Journal of International Economics, 99(1), S78-S96. https://doi.org/10.1016/j.jinteco.2015.12.007

Breznau, Nate, Rinke, Eike Mark, Wuttke, Alexander, Nguyen, Hung H.V., Adem, Muna, Adriaans, Jule, Alvarez-Benjumea, Amalia, Andersen, Henrik K., Auer, Daniel & Azevedo, Flavio et al (2022). Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty. Proceedings of the National Academy of Sciences of the United States of America, 119(44). https://doi.org/10.1073/pnas.2203150119 picture_as_pdf

Brightwell, Graham, Luczak, Malwina J. (2012). Order-invariant measures on fixed causal sets. Combinatorics, Probability and Computing, 21(03), 330-357. https://doi.org/10.1017/S0963548311000721

Brightwell, Graham, Luczak, Malwina J. (2012). Vertices of high degree in the preferential attachment tree. Electronic Journal of Probability, 17(0), 1-43. https://doi.org/10.1214/EJP.v17-1803

Brightwell, Graham, Patel, Viresh (2010). Average relational distance in linear extensions of posets. Discrete Mathematics, 310(5), 1016-1021. https://doi.org/10.1016/j.disc.2009.10.016

Browne, William J., Steele, Fiona, Golalizadeh, Mousa, Green, Martin J. (2009). The use of simple reparameterizations to improve the efficiency of Markov chain Monte Carlo estimation for multilevel models with applications to discrete time survival models. Journal of the Royal Statistical Society. Series A: Statistics in Society, 172(3), 579-598. https://doi.org/10.1111/j.1467-985X.2009.00586.x

Browne, William John, Charlton, Christopher Michael John, Price, Toni, Leckie, George, Steele, Fiona (2025). Optimizing the use of simulation methods in multilevel sample size calculations. Journal of Educational and Behavioral Statistics, https://doi.org/10.3102/10769986251344939 picture_as_pdf

Burchardt, Tania (2005). Are one man’s rags another man’s riches? identifying adaptive expectations using panel data. Social Indicators Research, 74(1), 57-102. https://doi.org/10.1007/s11205-005-6519-y

Burkhauser, Richard V., Feng, Shuaizhang, Jenkins, Stephen P. (2009). Using the P90/P10 index to measure U.S. inequality trends with current population survey data: a view from inside the census bureau vaults. Review of Income and Wealth, 55(1), 166-185. https://doi.org/10.1111/j.1475-4991.2008.00305.x

Cai, Hanqing, Wang, Tengyao (2023). Estimation of high-dimensional change-points under a group sparsity structure. Electronic Journal of Statistics, 17(1), 858 – 894. https://doi.org/10.1214/23-EJS2116 picture_as_pdf

Cai, Hengrui, Shi, Chengchun, Song, Rui, Lu, Wenbin (2023). Jump interval-learning for individualized decision making with continuous treatments. Journal of Machine Learning Research, picture_as_pdf

Cai, Zongwu, Fan, Jianqing, Yao, Qiwei (2000). Functional-coefficient regression models for nonlinear time series. Journal of the American Statistical Association, 95(451), 941-956. https://doi.org/10.1080/01621459.2000.10474284

Cai, Zongwu, Yao, Qiwei, Zhang, Wenyang (2001). Smoothing for discrete-valued time series. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 63(2), 357-375. https://doi.org/10.1111/1467-9868.00290

Caines, Peter, Mohammadi, Fatemeh, Sáenz-de-Cabezón, Eduardo, Wynn, Henry (2022). Lattice conditional independence models and Hibi ideals. Transactions of the London Mathematical Society, 9(1), 1 - 19. https://doi.org/10.1112/tlm3.12041 picture_as_pdf

Callegaro, Giorgia, Campi, Luciano, Giusto, Valeria, Vargiolu, Tiziano (2017). Utility indifference pricing and hedging for structured contracts in energy markets. Mathematical Methods of Operations Research, 85(2), 265-303. https://doi.org/10.1007/s00186-016-0569-6

Camerlenghi, Federico, Favaro, Stefano, Naulet, Zacharie, Panero, Francesca (2021). Optimal disclosure risk assessment. Annals of Statistics, 49(2), 723 - 744. https://doi.org/10.1214/20-AOS1975 picture_as_pdf

Campi, Luciano, Cetin, Umut, Danilova, Albina (2013). Equilibrium model with default and dynamic insider information. Finance and Stochastics, 17(347), 565-585. https://doi.org/10.1007/s00780-012-0196-x

Campi, Luciano, Ghio, Maddalena, Livieri, Giulia (2021). N-Player games and mean-field games with smooth dependence on past absorptions. Annales de l'institut Henri Poincare (B) Probability and Statistics, 57(4), 1901-1939. https://doi.org/10.1214/20-AIHP1138

Campi, Luciano, de Angelis, Tiziano, Ghio, Maddalena, Livieri, Giulia (2022). Mean-field games of finite-fuel capacity expansion with singular controls. Annals of Applied Probability, 32(5), 3674-3717. https://doi.org/10.1214/21-AAP1771

Campi, Luciano, Cetin, Umut, Danilova, Albina (2011). Dynamic Markov bridges motivated by models of insider trading. Stochastic Processes and Their Applications, 121(3), 534-567. https://doi.org/10.1016/j.spa.2010.11.004

Camponovo, Lorenzo, Matsushita, Yukitoshi, Otsu, Taisuke (2019). Empirical likelihood for high frequency data. Journal of Business and Economic Statistics, https://doi.org/10.1080/07350015.2018.1549051 picture_as_pdf

Camponovo, Lorenzo, Matsushita, Yukitoshi, Otsu, Taisuke (2021). Relative error accurate statistic based on nonparametric likelihood. Econometric Theory, 37(6), 1214 - 1237. https://doi.org/10.1017/S0266466621000074 picture_as_pdf

Camponovo, Lorenzo, Otsu, Taisuke (2014). On Bartlett correctability of empirical likelihood in generalized power divergence family. Statistics and Probability Letters, 86(1), 38-43. https://doi.org/10.1016/j.spl.2013.12.008

Capasso, Marco, Alessi, Lucia, Barigozzi, Matteo, Fagiolo, Giorgio (2009). On approximating the distributions of goodness-of-fit test statistics based on the empirical distribution function: the case of unknown parameters. Advances in Complex Systems, 12(2), 157-167. https://doi.org/10.1142/S0219525909002131

Caravelli, Francesco, Bardoscia, Marco, Caccioli, Fabio (2016). Emergence of giant strongly connected components in continuum disk-spin percolation. Journal of Statistical Mechanics: Theory and Experiment, 2016(May). https://doi.org/10.1088/1742-5468/2016/05/053211

Cardenas Hurtado, Camilo, Moustaki, Irini, Chen, Yunxiao, Marra, Giampiero (2025). Generalized latent variable models for location, scale, and shape parameters. Psychometrika, 90(3), 932 - 956. https://doi.org/10.1017/psy.2025.7 picture_as_pdf

Caron, François, Panero, Francesca, Rousseau, Judith (2023). On sparsity, power-law, and clustering properties of graphex processes. Advances in Applied Probability, 55(4), 1211 - 1253. https://doi.org/10.1017/apr.2022.75 picture_as_pdf

Carr-Hill, Roy A., Hope, Keith, Stern, Nicholas (1972). Delinquent generations revisited. Quality and Quantity, 6(2), 327-351. https://doi.org/10.1007/BF00211911

Cen, Zetai, Lam, Clifford (2025). On testing Kronecker product structure in tensor factor models. Biometrika, 112(4). https://doi.org/10.1093/biomet/asaf072

Cen, Zetai, Lam, Clifford (2025). Tensor time series imputation through tensor factor modelling. Journal of Econometrics, 249(Part B). https://doi.org/10.1016/j.jeconom.2025.105974 picture_as_pdf

Cereceda, Luis, van den Heuvel, Jan, Johnson, Matthew (2009). Mixing 3-colourings in bipartite graphs. European Journal of Combinatorics, 30(7), 1593-1606. https://doi.org/10.1016/j.ejc.2009.03.011

Cerioli, Andrea, Riani, Marco, Atkinson, Anthony C. (2009). Controlling the size of multivariate outlier tests with the MCD estimator of scatter. Statistics and Computing, 19(3), 341-353. https://doi.org/10.1007/s11222-008-9096-5

Cerioli, Andrea, Riani, Marco, Atkinson, Anthony C., Corbellini, Aldo (2018). Rejoinder to the discussion of “The power of monitoring how to make the most of a contaminated multivariate sample”. Statistical Methods and Applications, 27(4), 661-666. https://doi.org/10.1007/s10260-018-00436-8

Cetin, Umut (2012). Filtered Azéma martingales. Electronic Communications in Probability, 17, https://doi.org/10.1214/ECP.v17-2310

Cetin, Umut (2012). On absolutely continuous compensators and nonlinear filtering in default risk models. Stochastic Processes and Their Applications, 122(11), 3619-3647. https://doi.org/10.1016/j.spa.2012.07.001

Cetin, Umut, Jarrow, P., Protter, M., Warachka, M. (2006). Pricing options in an extended black-scholes economy with illiquidity: theory and empirical evidence. Review of Financial Studies, 19(2), 493-529. https://doi.org/10.1093/rfs/hhj014

Cetin, Umut, Sheynzon, Ilya (2014). A simple model for market booms and crashes. Mathematics and Financial Economics, 8(3), 291 -319. https://doi.org/10.1007/s11579-014-0116-2

Cetin, Umut (2018). Diffusion transformations, Black-Scholes equation and optimal stopping. Annals of Applied Probability, 28(5), 3102-3151. https://doi.org/10.1214/18-AAP1385 picture_as_pdf

Cetin, Umut (2025). Insider trading with penalties in continuous time. Journal of Economic Theory, 228, https://doi.org/10.1016/j.jet.2025.106061 picture_as_pdf

Cetin, Umut (2019). Linear inverse problems for Markov processes and their regularisation. Stochastic Processes and Their Applications, https://doi.org/10.1016/j.spa.2019.11.009 picture_as_pdf

Cetin, Umut (2024). Minimal subharmonic functions and related integral representations. Electronic Journal of Probability, 29, https://doi.org/10.1214/23-EJP1065 picture_as_pdf

Cetin, Umut, Danilova, Albina (2021). On pricing rules and optimal strategies in general Kyle-Back models. SIAM Journal on Control and Optimization, 59(5), 3973 – 3998. https://doi.org/10.1137/20M1319267 picture_as_pdf

Cetin, Umut, Danilova, Albina (2025). Order routing and market quality who benefits from internalization? Mathematical Finance, https://doi.org/10.1111/mafi.70014 picture_as_pdf

Cetin, Umut, Jarrow, R., Protter, P., Yildirim, Y. (2004). Modeling credit risk with partial information. Annals of Applied Probability, 14(3), 1167-1178. https://doi.org/10.1214/105051604000000251

Chambers, James D., Naci, Huseyin, Wouters, Olivier J., Pyo, Junhee, Gunjal, Shalak, Kennedy, Ian R., Hoey, Mark G., Winn, Aaron, Neumann, Peter J. (2015). An assessment of the methodological quality of published network meta-analyses: a systematic review. PLOS ONE, 10(4). https://doi.org/10.1371/journal.pone.0121715

Chan, K S, Pham, D T, Tong, Howell (1989). Strong consistency of the least squares estimator for a non-stationary threshold autoregressive model. Bulletin of the International Statistical Institute, 47th s(2), 202-203.

Chan, K S, Tong, Howell (1990). On likelihood ratio tests for threshold autoregression. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 52(3), 469-476.

Chan, K S, Tong, Howell (1986). On tests for non-linearity in time series analysis. Journal of Forecasting, 5(4), 217-228. https://doi.org/10.1002/for.3980050403

Chan, K S, Tong, Howell (1987). A note on embedding a discrete parameter ARMA model in a continuous parameter ARMA model. Journal of Time Series Analysis, 8(3), 277-281. https://doi.org/10.1111/j.1467-9892.1987.tb00439.x

Chan, K.S, Ho, L-H, Tong, Howell (2006). A note on time-reversibility of multivariate linear processes. Biometrika, 93(1), 221-227. https://doi.org/10.1093/biomet/93.1.221

Chan, K.S, Petruccelli, J.D, Woolford, S.W, Tong, Howell (1985). A multiple threshold AR(1)model. Journal of Applied Probability, 22(2), 267-279.

Chan, K.S, Tong, Howell (1986). On estimating thresholds in autoregressive models. Journal of Time Series Analysis, 7(3), 179-190. https://doi.org/10.1111/j.1467-9892.1986.tb00501.x

Chan, K.S, Tong, Howell (1985). On the use of the deterministic Lyapunov function for the erogdicity of stochastic difference equations. Advances in Applied Probability, 17(3), 666-678.

Chan, K.S, Tong, Howell (1986). A note on certain integral equations associated with non-linear time series analysis. Probability Theory and Related Fields, 73(1), 153-158. https://doi.org/10.1007/BF01845999

Chan, K.S, Tong, Howell (1984). A note on sub-system and system stability. Journal of Engineering Mathematics, 1(2), 43-51.

Chan, K.S, Tong, Howell, Pham, D.T (1991). Strong consistency of least-squares estimator for a non-ergodic threshold autoregressive model. Statistica Sinica, 1(2), 361-369.

Chan, K.S, Tong, Howell, Stenseth, Nils C (2004). Testing for common structures in a panel of threshold models. Biometrics, 60(1), 225-232. https://doi.org/10.1111/j.0006-341X.2004.00151.x

Chan, Kung-Sik, Tong, Howell (2010). A note on the invertibility of nonlinear ARMA models. Journal of Statistical Planning and Inference, 140(12), 3709-3714. https://doi.org/10.1016/j.jspi.2010.04.036

Chan, Wai-Sum, Wong, Albert C S, Tong, Howell (2004). Some nonlinear threshold autoregressive time series models for actuarial use. North American Actuarial Journal, 8(4), 37-61.

Chandarana, Keval, Drew, Megan E., Emmanuel, Julian, Karra, Efthimia, Gelegen, Cigdem, Chan, Philip, Cron, Nicholas J., Batterham, Rachel L. (2009). Subject standardization, acclimatization, and sample processing affect gut hormone levels and appetite in humans. Gastroenterology, 136(7), 2115-2126. https://doi.org/10.1053/j.gastro.2009.02.047

Chang, Jinyuan, Chen, Cheng, Qiao, Xinghao, Yao, Qiwei (2023). An autocovariance-based learning framework for high-dimensional functional time series. Journal of Econometrics, 239(2). https://doi.org/10.1016/j.jeconom.2023.01.007 picture_as_pdf

Chang, Jinyuan, Cheng, Guanghui, Yao, Qiwei (2022). Testing for unit roots based on sample autocovariances. Biometrika, 109(2), 543 - 550. https://doi.org/10.1093/biomet/asab034 picture_as_pdf

Chang, Jinyuan, Du, Yue, Huang, Guanglin, Yao, Qiwei (2025). Identification and estimation for matrix time series CP-factor models. Annals of Statistics, [In Press] picture_as_pdf

Chang, Jinyuan, Fang, Qin, Qiao, Xinghao, Yao, Qiwei (2024). On the Modeling and Prediction of High-Dimensional Functional Time Series. Journal of the American Statistical Association, 1-15. https://doi.org/10.1080/01621459.2024.2413201 picture_as_pdf

Chang, Jinyuan, Guo, Bin, Yao, Qiwei (2018). Principal component analysis for second-order stationary vector time series. Annals of Statistics, 46(5), 2094-2124. https://doi.org/10.1214/17-AOS1613

Chang, Jinyuan, Hu, Qiao, Kolaczyk, Eric D., Yao, Qiwei, Yi, Fengting (2024). Edge differentially private estimation in the β-model via jittering and method of moments. Annals of Statistics, 52(2), 708 - 728. https://doi.org/10.1214/24-AOS2365 picture_as_pdf

Chang, Jinyuan, Kolaczyk, Eric D., Yao, Qiwei (2022). Estimation of subgraph densities in noisy networks. Journal of the American Statistical Association, 117(537), 361 - 374. https://doi.org/10.1080/01621459.2020.1778482 picture_as_pdf

Chang, Jinyuan, Qiu, Yumou, Yao, Qiwei, Zou, Tao (2018). Confidence regions for entries of a large precision matrix. Journal of Econometrics, 206(1), 57-82. https://doi.org/10.1016/j.jeconom.2018.03.020

Chang, Jinyuan, Yao, Qiwei, Zhou, Wen (2017). Testing for high-dimensional white noise using maximum cross-correlations. Biometrika, 104(1), 111 - 127. https://doi.org/10.1093/biomet/asw066

Chang, Jinyuan, Zhang, Henry, Yang, Lin, Yao, Qiwei (2023). Modelling matrix time series via a tensor CP-decomposition. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 85(1), 127 – 148. https://doi.org/10.1093/jrsssb/qkac011 picture_as_pdf

Chapman, C. J., Wynn, H. P. (2021). Fractional power series and the method of dominant balances. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 477(2246). https://doi.org/10.1098/rspa.2020.0646 picture_as_pdf

Chatzilena, Anastasia, Demiris, Nikolas, Kalogeropoulos, Konstantinos (2024). A modeling framework for the analysis of the SARS-CoV2 transmission dynamics. Statistics in Medicine, 43(23), 4542 - 4558. https://doi.org/10.1002/sim.10195 picture_as_pdf

Chen, Yunxiao, Xu, Gongjun (2023). Yunxiao Chen and Gongjun Xu's contribution to the discussion of ‘Vintage factor analysis with Varimax performs statistical inference’ by Rohe & Zeng. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 85(4), 1082 – 1084. https://doi.org/10.1093/jrsssb/qkad040

Chen, Cheng, Guo, Shaojun, Qiao, Xinghao (2022). Functional linear regression: dependence and error contamination. Journal of Business and Economic Statistics, 40(1), 444 - 457. https://doi.org/10.1080/07350015.2020.1832503 picture_as_pdf

Chen, Fangyi, Chen, Yunxiao, Ying, Zhiliang, Zhou, Kangjie (2025). Dynamic factor analysis of high-dimensional recurrent events. Biometrika, 112(3). https://doi.org/10.1093/biomet/asaf028 picture_as_pdf

Chen, Peng, Zhu, Jin, Zhu, Junxian, Wang, Xueqin (2025). Simplex constrained sparse optimization via tail screening. Journal of Machine Learning Research, 26, picture_as_pdf

Chen, Weilin, Lam, Clifford (2024). Rank and factor loadings estimation in time series tensor factor model by pre-averaging. Annals of Statistics, 52(1), 364 - 391. https://doi.org/10.1214/23-AOS2350 picture_as_pdf

Chen, Yining (2020). Jump or kink: note on super-efficiency in segmented linear regression break-point estimation. Biometrika, https://doi.org/10.1093/biomet/asaa049 picture_as_pdf

Chen, Yining, S. Torrent, Hudson, A. Ziegelmann, Flavio (2023). Robust nonparametric frontier estimation in two steps. Econometric Reviews, 42(7), 612 - 634. https://doi.org/10.1080/07474938.2023.2219183 picture_as_pdf

Chen, Yudong, Chen, Yining (2024). Yudong Chen and Yining Chen's contribution to the discussion of ‘the discussion meeting on probabilistic and statistical aspects of machine learning’. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 86(2), 316 – 317. https://doi.org/10.1093/jrsssb/qkad145 picture_as_pdf

Chen, Yudong, Wang, Tengyao, Samworth, Richard J. (2022). High-dimensional, multiscale online changepoint detection. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 84(1), 234 - 266. https://doi.org/10.1111/rssb.12447 picture_as_pdf

Chen, Yudong, Wang, Tengyao, Samworth, Richard J. (2024). Inference in high-dimensional online changepoint detection. Journal of the American Statistical Association, 119(546), 1461 - 1472. https://doi.org/10.1080/01621459.2023.2199962 picture_as_pdf

Chen, Yunxiao (2020). A continuous-time dynamic choice measurement model for problem-solving process data. Psychometrika, https://doi.org/10.1007/s11336-020-09734-1 picture_as_pdf

Chen, Yunxiao, Lee, Yi-Hsuan, Li, Xiaoou (2022). Item pool quality control in educational testing: change point model, compound risk, and sequential detection. Journal of Educational and Behavioral Statistics, 47(3), 322 - 352. https://doi.org/10.3102/10769986211059085 picture_as_pdf

Chen, Yunxiao, Li, Chengcheng, Ouyang, Jing, Xu, Gongjun (2023). DIF statistical inference without knowing anchoring items. Psychometrika, 88(4), 1097 - 1122. https://doi.org/10.1007/s11336-023-09930-9 picture_as_pdf

Chen, Yunxiao, Li, Chengcheng, Ouyang, Jing, Xu, Gongjun (2023). Statistical inference for noisy incomplete binary matrix. Journal of Machine Learning Research, 24, picture_as_pdf

Chen, Yunxiao, Li, Xiaoou (2023). Compound sequential change-point detection in parallel data streams. Statistica Sinica, 33(1), 453 - 474. https://doi.org/10.5705/ss.202020.0508 picture_as_pdf

Chen, Yunxiao, Li, Xiaoou (2022). Determining the number of factors in high-dimensional generalized latent factor models. Biometrika, 109(3), 769 - 782. https://doi.org/10.1093/biomet/asab044 picture_as_pdf

Chen, Yunxiao, Li, Xiaoou (2024). A note on entrywise consistency for mixed-data matrix completion. Journal of Machine Learning Research, 25, picture_as_pdf

Chen, Yunxiao, Li, Xiaoou, Liu, Jingchen, Ying, Zhiliang (2025). Item response theory—a statistical framework for educational and psychological measurement. Statistical Science, 40(2), 167 - 194. https://doi.org/10.1214/23-sts896 picture_as_pdf

Chen, Yunxiao, Li, Xiaoou, Liu, Jingchen, Ying, Zhiliang (2017). Regularized latent class analysis with application in cognitive diagnosis. Psychometrika, 82(3), 660 – 692. https://doi.org/10.1007/s11336-016-9545-6 picture_as_pdf

Chen, Yunxiao, Li, Xiaoou, Liu, Jingchen, Ying, Zhiliang (2018). Robust measurement via a fused latent and graphical item response theory model. Psychometrika, 83(3), 538 – 562. https://doi.org/10.1007/s11336-018-9610-4 picture_as_pdf

Chen, Yunxiao, Li, Xiaoou, Liu, Jingchen, Ying, Zhiliang (2019). Statistical analysis of complex problem-solving process data: an event history analysis approach. Frontiers in Psychology, 10, https://doi.org/10.3389/fpsyg.2019.00486 picture_as_pdf

Chen, Yunxiao, Li, Xiaoou, Zhang, Siliang (2019). Structured latent factor analysis for large-scale data: identifiability, estimability, and their implications. Journal of the American Statistical Association, 115(532), 1756-1770. https://doi.org/10.1080/01621459.2019.1635485 picture_as_pdf

Chen, Yunxiao, Liu, Jingchen, Xu, Gongjun, Ying, Zhiliang (2015). Statistical analysis of Q-matrix based diagnostic classification models. Journal of the American Statistical Association, 110(510), 850 - 866. https://doi.org/10.1080/01621459.2014.934827 picture_as_pdf

Chen, Yunxiao, Lu, Yan, Moustaki, Irini (2022). Detection of two-way outliers in multivariate data and application to cheating detection in educational tests. Annals of Applied Statistics, 16(3), 1718 - 1746. https://doi.org/10.1214/21-AOAS1564 picture_as_pdf

Chen, Yunxiao, Moustaki, Irini, Zhang, H (2020). A note on likelihood ratio tests for models with latent variables. Psychometrika, 85(4), 996 - 1012. https://doi.org/10.1007/s11336-020-09735-0 picture_as_pdf

Chen, Yunxiao, Ying, Zhiliang, Zhang, Haoran (2021). Unfolding-model-based visualization: theory, method and applications. Journal of Machine Learning Research, 22, 1-51. picture_as_pdf

Chen, Yunxiao, Zhang, Siliang (2020). A latent Gaussian process model for analysing intensive longitudinal data. British Journal of Mathematical and Statistical Psychology, 73(2), 237 - 260. https://doi.org/10.1111/bmsp.12180 picture_as_pdf

Chen, Zezhun Chen, Dassios, Angelos, Tzougas, George (2024). EM estimation for bivariate mixed poisson INAR(1) claim count regression models with correlated random effects. European Actuarial Journal, 14(1), 225 – 255. https://doi.org/10.1007/s13385-023-00351-7 picture_as_pdf

Chen, Zezhun Chen, Dassios, Angelos, Tzougas, George (2023). INAR approximation of bivariate linear birth and death process. Journal of Applied Statistics, 26(3), 459 - 497. https://doi.org/10.1007/s11203-023-09289-9 picture_as_pdf

Chen, Zezhun Chen, Dassios, Angelos, Tzougas, George (2023). A first order binomial mixed poisson integer-valued autoregressive model with serially dependent innovations. Journal of Applied Statistics, 50(2), 352 - 369. https://doi.org/10.1080/02664763.2021.1993798 picture_as_pdf

Chen, Zezhun, Dassios, Angelos (2022). Cluster point processes and Poisson thinning INARMA. Stochastic Processes and Their Applications, 147, 456 - 480. https://doi.org/10.1016/j.spa.2022.02.002 picture_as_pdf

Chen, Zezhun, Dassios, Angelos, Kuan, Valerie, Lim, Jia Wei, Qu, Yan, Surya, Budhi, Zhao, Hongbiao (2021). A two-phase dynamic contagion model for COVID-19. Results in Physics, 26, https://doi.org/10.1016/j.rinp.2021.104264 picture_as_pdf

Chen, Zezhun, Dassios, Angelos, Tzougas, George (2022). EM estimation for the bivariate mixed exponential regression model. Risks, 10(5). https://doi.org/10.3390/risks10050105 picture_as_pdf

Chen, Zezhun, Dassios, Angelos, Tzougas, George (2022). Multivariate mixed Poisson Generalized Inverse Gaussian INAR(1) regression. Computational Statistics, https://doi.org/10.1007/s00180-022-01253-0 picture_as_pdf

Cheng, B, Tong, Howell (1992). Consistent nonparametric order determination and chaos, with discussion. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 54(2), 427-449.

Cheng, B, Tong, Howell (1993). On residual sums of squares in non-parametric autoregression. Stochastic Processes and Their Applications, 48(1), 157-174. https://doi.org/10.1016/0304-4149(93)90112-H

Cheng, B, Tong, Howell (1994). Orthogonal projection, embedding dimension and sample size in chaotic time series from a statistical perspective. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 348(1688), 325-341.

Cheng, B, Tong, Howell (1992). A note on one-dimensional chaotic maps under time reversal. Advances in Applied Probability, 24(1), 219-220. https://doi.org/10.2307/1427737

Cho, Haeran, Fryzlewicz, Piotr (2013). Errata on 'Multiscale and multilevel technique for consistent segmentation of nonstationary time series', Statistica Sinica (2012), vol. 22, no. 1, pp. 207-229. Statistical Science, 23(4), p. 1793.

Cho, Haeran, Fryzlewicz, Piotr (2012). High dimensional variable selection via tilting. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 74(3), 593-622. https://doi.org/10.1111/j.1467-9868.2011.01023.x

Cho, Haeran, Fryzlewicz, Piotr (2012). Multiscale and multilevel technique for consistent segmentation of nonstationary time series. Statistica Sinica, 22(1), 207-229. https://doi.org/10.5705/ss.2009.280

Cho, Haeran, Fryzlewicz, Piotr (2011). Multiscale interpretation of taut string estimation and its connection to Unbalanced Haar wavelets. Statistics and Computing, 21, 671-681. https://doi.org/10.1007/s11222-010-9200-5

Cho, Haeran, Fryzlewicz, Piotr (2024). Multiple change point detection under serial dependence: wild contrast maximisation and gappy Schwarz algorithm. Journal of Time Series Analysis, 45(3), 479 - 494. https://doi.org/10.1111/jtsa.12722 picture_as_pdf

Cho, Haeran, Fryzlewicz, Piotr (2015). Multiple-change-point detection for high dimensional time series via sparsified binary segmentation. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 77(2), 475 - 507. https://doi.org/10.1111/rssb.12079

Cho, Haeran, Goude, Yannig, Brossat, Xavier, Yao, Qiwei (2013). Modeling and forecasting daily electricity load curves: a hybrid approach. Journal of the American Statistical Association, 108(501), 7-21. https://doi.org/10.1080/01621459.2012.722900

Christensen, William F., Wall, Melanie M., Moustaki, Irini (2022). Assessing dimensionality in dichotomous items when many subjects have all-zero responses: an example from psychiatry and a solution using mixture models. Applied Psychological Measurement, 46(3), 167-184. https://doi.org/10.1177/01466216211066602 picture_as_pdf

Conforti, Michele, Cornuéjols, Gérard, Zambelli, Giacomo (2013). Extended formulations in combinatorial optimization. Annals of Operations Research, 204(1), 97-143. https://doi.org/10.1007/s10479-012-1269-0

Cowell, Frank, Victoria-Feser, M.P. (2006). Distributional dominance with trimmed data. Journal of Business and Economic Statistics, 24(3), 291-300.

Cowell, Frank, Victoria-Feser, Maria-Pia (2002). Welfare rankings in the presence of contaminated data. Econometrica, 70(3), 1221-1234. https://doi.org/10.1111/1468-0262.00324

Cowell, Frank A., Fleurbaey, Marc, Tungodden, Bertil (2015). The tyranny puzzle in social preferences: an empirical investigation. Social Choice and Welfare, 45(4), 765-792. https://doi.org/10.1007/s00355-015-0880-9

Cowell, Frank A., Van Kerm, Philippe (2015). Wealth inequality: a survey. Journal of Economic Surveys, 29(4), 671-710. https://doi.org/10.1111/joes.12114 picture_as_pdf

Croon, Marcel, Bergsma, Wicher, Hagenaars, Jacques (2000). Analyzing change in categorical variables by generalized log-linear models. Sociological Methods and Research, 29(2), 195-229. https://doi.org/10.1177/0049124100029002002

Cummins, Neil (2025). The causal effects of education on age at marriage and marital fertility. European Review of Economic History, 29(3), 273 - 320. https://doi.org/10.1093/ereh/heae023 picture_as_pdf

Curtice, John, Fisher, Stephen D., Kuha, Jouni (2011). Confounding the commentators: how the 2010 exit poll got it (more or less) right. Journal of Elections, Public Opinion and Parties, 21(2), 211-235. https://doi.org/10.1080/17457289.2011.562612

Cylus, Jonathan, Mladovsky, Philipa, McKee, Martin (2012). Is there a statistical relationship between economic crises and changes in government health expenditure growth?: an analysis of twenty-four European countries. Health Services Research, 47(6), 2204-2224. https://doi.org/10.1111/j.1475-6773.2012.01428.x

D'Arrigo, Julia, Skinner, Chris J. (2010). Linearization variance estimation for generalized raking estimators in the presence of nonresponse. Survey Methodology, 36(2), 181-192.

Da Silva, Damião Nóbrega, Skinner, Chris J. (2014). The use of accuracy indicators to correct for survey measurement error. Journal of the Royal Statistical Society. Series C: Applied Statistics, 63(2), 303-319. https://doi.org/10.1111/rssc.12022

Da Silva, Damião Nóbrega, Skinner, Chris J., Kim, Jae Kwang (2016). Using binary paradata to correct for measurement error in survey data analysis. Journal of the American Statistical Association, 111(514), 526 - 537. https://doi.org/10.1080/01621459.2015.1130632

Dabas, P, Tong, Howell (1990). Clusters of time series models: an example. Journal of Applied Statistics, 17(2), 187-198. https://doi.org/10.1080/757582830

Dachis, Ben, Duranton, Gilles, Turner, Matthew A. (2012). The effects of land transfer taxes on real estate markets: evidence from a natural experiment in Toronto. Journal of Economic Geography, 12(2), 327-354. https://doi.org/10.1093/jeg/lbr007

Dang, Hai Anh H., Jolliffe, Dean, Serajuddin, Umar, Stacy, Brian (2024). Country statistical capacity: a recent assessment tool and further reflections on the way forward. Statistical Journal of the IAOS, 40(2), 211 - 225. https://doi.org/10.3233/SJI-230093 picture_as_pdf

Danielsson, Jon (2015). What the Swiss FX shock says about risk models. VoxEU,

Danielsson, Jon (2013). The new market-risk regulations. VoxEU,

Danielsson, Jon, James, Kevin R., Valenzuela, Marcela, Zer, Ilknur (2014). Model risk and the implications for risk management, macroprudential policy, and financial regulations. VoxEU,

Danielsson, Jon, Zhou, Chen (2015). Why risk is hard to measure. VoxEU,

Danielsson, Jon, Shin, Hyun Song, Zigrand, Jean-Pierre (2004). The impact of risk regulation on price dynamics. Journal of Banking and Finance, 28(5), 1069-1087. https://doi.org/10.1016/S0378-4266(03)00113-4

Danilova, Albina (2010). Stock market insider trading in continuous time with imperfect dynamic information. Stochastics: an International Journal of Probability and Stochastic Processes, 82(1), 111-131. https://doi.org/10.1080/17442500903106614

Darcy, Matthieu, Hamzi, Boumediene, Livieri, Giulia, Owhadi, Houman, Tavallali, Peyman (2023). One-shot learning of stochastic differential equations with data adapted kernels. Physica D: Nonlinear Phenomena, 444, https://doi.org/10.1016/j.physd.2022.133583

Dassios, Angelos (2005). On the quantiles of the Brownian motion and their hitting times. Bernoulli, 11(1), 29-36.

Dassios, Angelos, Jang, J.W. (2005). Kalman-Bucy filtering for linear systems driven by the Cox process with shot noise intensity and its application to the pricing of reinsurance contracts. Journal of Applied Probability, 42(1), 93-107. https://doi.org/10.1239/jap/1110381373

Dassios, Angelos, Wu, Shanle (2011). Double-barrier Parisian options. Journal of Applied Probability, 48(1), 1-20. https://doi.org/10.1239/jap/1300198132

Dassios, Angelos, Zhao, Hongbiao (2012). Ruin by dynamic contagion claims. Insurance: Mathematics and Economics, 51(1), 93-106. https://doi.org/10.1016/j.insmatheco.2012.03.006

Dassios, Angelos, Zhao, Hongbiao (2011). A dynamic contagion process. Advances in Applied Probability, 43(3), 814-846. https://doi.org/10.1239/aap/1316792671

Dassios, Angelos, Jang, Jiwook (2003). Pricing of catastrophe reinsurance and derivatives using the Cox process with shot noise intensity. Finance and Stochastics, 7(1), 73-95. https://doi.org/10.1007/s007800200079

Dassios, Angelos, Jang, Jiwook (2008). The distribution of the interval between events of a Cox process with shot noise intensity. Journal of Applied Mathematics and Stochastic Analysis, 2008, 1-14. https://doi.org/10.1155/2008/367170

Dassios, Angelos, Jang, Jiwook, Zhao, Hongbiao (2015). A risk model with renewal shot-noise Cox process. Insurance: Mathematics and Economics, 65, 55-65. https://doi.org/10.1016/j.insmatheco.2015.08.009

Dassios, Angelos, Li, Luting (2020). Explicit asymptotic on first passage times of diffusion processes. Advances in Applied Probability, 52(2). picture_as_pdf

Dassios, Angelos, Lim, Jia Wei (2013). Parisian option pricing: a recursive solution for the density of the Parisian stopping time. SIAM Journal on Financial Mathematics, 4(1), 599-615. https://doi.org/10.1137/120875466

Dassios, Angelos, Lim, Jia Wei (2017). An efficient algorithm for simulating the drawdown stopping time and the running maximum of a Brownian motion. Methodology and Computing in Applied Probability, 20(1), 189-204. https://doi.org/10.1007/s11009-017-9542-y

Dassios, Angelos, Lim, Jia Wei, Qu, Yan (2020). Azéma martingales for Bessel and CIR processes and the pricing of Parisian zero-coupon bonds. Mathematical Finance, 30(4), 1497-1526. https://doi.org/10.1111/mafi.12248 picture_as_pdf

Dassios, Angelos, Nagaradjasarma, Jayalaxshmi (2006). The square-root process and Asian options. Quantitative Finance, 6(4), 337-347. https://doi.org/10.1080/14697680600724775

Dassios, Angelos, Qu, Yan, Zhao, Hongbiao (2018). Exact simulation for a class of tempered stable. ACM Transactions on Modeling and Computer Simulation, 28(3). https://doi.org/10.1145/3184453

Dassios, Angelos, Zhang, Junyi (2023). Exact simulation of Poisson-Dirichlet distribution and generalised gamma process. Methodology and Computing in Applied Probability, 25(2). https://doi.org/10.1007/s11009-023-10040-3 picture_as_pdf

Dassios, Angelos, Zhang, Junyi (2021). Exact simulation of two-parameter Poisson-Dirichlet random variables. Electronic Journal of Probability, 26(0). https://doi.org/10.1214/20-EJP573 picture_as_pdf

Dassios, Angelos, Zhang, Junyi (2022). First hitting time of Brownian motion on simple graph with skew semiaxes. Methodology and Computing in Applied Probability, 24(3), 1805 - 1831. https://doi.org/10.1007/s11009-021-09884-4 picture_as_pdf

Dassios, Angelos, Zhang, Junyi (2020). Parisian time of reflected Brownian motion with drift on rays and its application in banking. Risks, 8(4). https://doi.org/10.3390/risks8040127 picture_as_pdf

Dassios, Angelos, Zhao, Hongbiao (2017). Efficient simulation of clustering jumps with CIR intensity. Operations Research, 65(6), 1494-1515. https://doi.org/10.1287/opre.2017.1640

Dassios, Angelos, Zhao, Hongbiao (2013). Exact simulation of Hawkes process with exponentially decaying intensity. Electronic Communications in Probability, 18(62). https://doi.org/10.1214/ECP.v18-2717

De Bacco, Caterina, Contisciani, Martina, Cardoso Silva, Jon, Safdari, Hadiseh, Borges, Gabriela Lima, Baptista, Diego, Sweet, Tracy, Young, Jean-Gabriel, Jeremy, Koster & Ross, Cody T et al (2023). Latent network models to account for noisy, multiply reported social network data. Journal of the Royal Statistical Society. Series A: Statistics in Society, 186(3), 355 - 375. https://doi.org/10.1093/jrsssa/qnac004 picture_as_pdf

De Meza, David, Reito, Francesco, Reyniers, Diane J. (2021). Too much trade: the hidden problem of adverse selection. Journal of Public Economics, 204, https://doi.org/10.1016/j.jpubeco.2021.104551 picture_as_pdf

Den Haan, Wouter J., De Wind, Joris (2012). Nonlinear and stable perturbation-based approximations. Journal of Economic Dynamics and Control, 36(10), 1477-1497. https://doi.org/10.1016/j.jedc.2012.05.001

Denning, Jeffrey, Murphy, Richard, Weinhardt, Felix (2023). Class rank and long-run outcomes. Review of Economics and Statistics, 105(6), 1426 - 1441. https://doi.org/10.1162/rest_a_01125

Di Bucchianico, Alessandro, Wynn, Henry (2012). Editorial: quality and reliability engineering international special issue. Quality and Reliability Engineering International, 28(5), p. 497. https://doi.org/10.1002/qre.1456

Di Lazzaro, Paolo, Atkinson, Anthony C., Iacomussi, Paola, Riani, Marco, Ricci, Marco, Wadhams, Peter (2020). Statistical and proactive analysis of an inter-laboratory comparison: the radiocarbon dating of the Shroud of Turin. Entropy, 22(9). https://doi.org/10.3390/e22090926 picture_as_pdf

Di Mari, Roberto, Bakk, Zsuzsa, Oser, Jennifer, Kuha, Jouni (2023). A two-step estimator for multilevel latent class analysis with covariates. Psychometrika, 88(4), 1144 - 1170. https://doi.org/10.1007/s11336-023-09929-2 picture_as_pdf

Diks, C, Tong, Howell (1999). A test for symmetries of multivariate probability distributions. Biometrika, 86(3), 605-614. https://doi.org/10.1093/biomet/86.3.605

Ding, Yihong, Robinson, Elizabeth, Balcombe, Kelvin (2025). The role of experience in climate adaptation: evidence from a field experiment in China. China Economic Review, 94(Part B). https://doi.org/10.1016/j.chieco.2025.102589 picture_as_pdf

Dominicus, Annica, Skrondal, Anders, Håkon, Gjessing, Pedersen, Nancy L, Palmgren, Juni (2006). Likelihood ratio tests in behavioral genetics: problems and solutions. Behavior Genetics, 36(2), 331-340. https://doi.org/10.1007/s10519-005-9034-7

Doretti, Marco, Geneletti, Sara, Stanghellini, Elena (2018). Missing data: a unified taxonomy guided by conditional independence. International Statistical Review, 86(2), 189-204. https://doi.org/10.1111/insr.12242

Du, Hailiang, Smith, Leonard A. (2017). Rising above chaotic likelihoods. SIAM/ASA Journal on Uncertainty Quantification, 5(1), 246-258. https://doi.org/10.1137/140988784

Duarte, Belmiro P. M., Atkinson, Anthony C., Moerbeek, Mirjam (2025). Information-theoretic criteria for optimizing designs of individually randomized stepped-wedge clinical trials. Statistics and Computing, 35(6). https://doi.org/10.1007/s11222-025-10690-y picture_as_pdf

Duarte, Belmiro P.M., Atkinson, Anthony C. (2025). Optimal designs for efficacy-toxicity response in dose finding studies using the bivariate probit model. Computers in Biology and Medicine, 188, https://doi.org/10.1016/j.compbiomed.2025.109848 picture_as_pdf

Duarte, Belmiro P.M., Atkinson, Anthony C. (2024). Optimum designs for clinical trials in personalized medicine when response variance depends on treatment. Journal of Biopharmaceutical Statistics, https://doi.org/10.1080/10543406.2024.2395548 picture_as_pdf

Duarte, Belmiro P.M., Atkinson, Anthony C., Granjo, Jose F.O, Oliveira, Nuno M.C (2022). Optimal design of experiments for implicit models. Journal of the American Statistical Association, 117(539), 1424 - 1437. https://doi.org/10.1080/01621459.2020.1862670 picture_as_pdf

Duarte, Belmiro P.M., Atkinson, Anthony C., Granjo, Jose F.O, Oliveira, Nuno M.C (2019). Optimal design of experiments for liquid–liquid equilibria characterization via semidefinite programming. Processes, 7(11). https://doi.org/10.3390/pr7110834 picture_as_pdf

Duarte, Belmiro P.M., Atkinson, Anthony C., Granjo, Jose F.O, Oliveira, Nuno M.C (2021). A model-based framework assisting the design of vapor-liquid equilibrium experimental plans. Computers and Chemical Engineering, 145, https://doi.org/10.1016/j.compchemeng.2020.107168 picture_as_pdf

Duarte, Belmiro P.M., Atkinson, Anthony C., Oliveira, Nuno M.C (2025). Compound optimal design of experiments - semidefinite programming formulations. Optimization and Engineering, https://doi.org/10.1007/s11081-025-10001-4 picture_as_pdf

Duarte, Belmiro P.M., Atkinson, Anthony C., Oliveira, Nuno M.C (2022). Optimal designs for dose-escalation trials and individual allocations in cohorts. Statistics and Computing, 32(5). https://doi.org/10.1007/s11222-022-10158-3 picture_as_pdf

Duarte, Belmiro P.M., Atkinson, Anthony C., Oliveira, Nuno M.C (2021). Optimal experimental design for linear time invariant state–space models. Statistics and Computing, 31(4). https://doi.org/10.1007/s11222-021-10020-y picture_as_pdf

Duarte, Belmiro P.M., Atkinson, Anthony C., Oliveira, Nuno M.C. (2023). Optimum design for ill-conditioned models: K–optimality and stable parameterizations. Chemometrics and Intelligent Laboratory Systems, 239, https://doi.org/10.1016/j.chemolab.2023.104874 picture_as_pdf

Duarte, Belmiro P.M., Atkinson, Anthony C., Oliveira, Nuno M.C. (2024). Using hierarchical information-theoretic criteria to optimize subsampling of extensive datasets. Chemometrics and Intelligent Laboratory Systems, 245, https://doi.org/10.1016/j.chemolab.2024.105067 picture_as_pdf

Duarte, Belmiro P.M., Atkinson, Anthony C., P. Singh, Satya, S. Reis, Marco (2023). Optimal design of experiments for hypothesis testing on ordered treatments via intersection-union tests. Statistical Papers, 64(2), 587 - 615. https://doi.org/10.1007/s00362-022-01334-8 picture_as_pdf

Dubiel-Teleszynski, Tomasz, Kalogeropoulos, Konstantinos, Karouzakis, Nikolaos (2024). Sequential learning and economic benefits from dynamic term structure models. Management Science, 70(4), 2236 - 2254. https://doi.org/10.1287/mnsc.2023.4801 picture_as_pdf

Dueñas, Marco, Mastrandrea, Rossana, Barigozzi, Matteo, Fagiolo, Giorgio (2017). Spatio-temporal patterns of the international merger and acquisition network. Scientific Reports, 7(10789). https://doi.org/10.1038/s41598-017-10779-z

Dureau, J., Kalogeropoulos, K., Vickerman, P., Pickles, M., Boily, M. C. (2016). A Bayesian approach to estimate changes in condom use from limited human immunodeficiency virus prevalence data. Journal of the Royal Statistical Society. Series C: Applied Statistics, 65(2), 237 - 257. https://doi.org/10.1111/rssc.12116

Dureau, Joseph, Kalogeropoulos, Konstantinos, Baguelin, Marc (2013). Capturing the time-varying drivers of an epidemic using stochastic dynamical systems. Biostatistics, 14(3), 541-555. https://doi.org/10.1093/biostatistics/kxs052

Durrant, Gabriele B., D'Arrigo, Julia, Steele, Fiona (2013). Analysing interviewer call record data by using a multilevel discrete time event history modelling approach. Journal of the Royal Statistical Society. Series A: Statistics in Society, 176(1), 254-269. https://doi.org/10.1111/j.1467-985X.2012.01073.x

Durrant, Gabriele B., Groves, Robert M., Staetsky, Laura, Steele, Fiona (2010). Effects of interviewer attitudes and behaviors on refusal in household surveys. Public Opinion Quarterly, 74(1), 1-36. https://doi.org/10.1093/poq/nfp098

Durrant, Gabriele B., Skinner, Chris J. (2006). Using data augmentation to correct for non-ignorable non-response when surrogate data are available: an application to the distribution of hourly pay. Journal of the Royal Statistical Society. Series A: Statistics in Society, 169(3), 605-623. https://doi.org/10.1111/j.1467-985X.2006.00398.x

Durrant, Gabriele B., Skinner, Chris J. (2006). Using missing data methods to correct for measurement error in a distribution function. Survey Methodology, 32(1), 25-36.

Durrant, Gabriele B., D'Arrigo, Julia, Steele, Fiona (2011). Using field process data to predict best times of contact conditioning on household and interviewer influences. Journal of the Royal Statistical Society. Series A: Statistics in Society, 174(4), 1029-1049. https://doi.org/10.1111/j.1467-985X.2011.00715.x

Durrant, Gabriele B., Steele, Fiona (2009). Multilevel modelling of refusal and non-contact in household surveys: evidence from six UK Government surveys. Journal of the Royal Statistical Society. Series A: Statistics in Society, 172(2), 361-381. https://doi.org/10.1111/j.1467-985X.2008.00565.x

Dyson, Tim (2008). How to save a crowded planet: a review essay. Population and Development Review, 34(3), 347-355. https://doi.org/10.1111/j.1728-4457.2008.00237.x

Dyson, Tim (2009). New evidence on child mortality in Iraq. Economic and Political Weekly, XLIV(2), 56-59.

Dyson, Tim (2008). A call to arms: the scientific and substantive importance of the historical demography of India. Demography India, 37(2), 177-192.

Dyson, Tim, Bhrolcháin, M (2007). On causation in demography. Population and Development Review, 33(1), 1-36. https://doi.org/10.1111/j.1728-4457.2007.00157.x

Ekholm, Anders, Skinner, Chris J. (2008). The Muscatine children’s obesity data reanalysed using pattern mixture models. Journal of the Royal Statistical Society. Series C: Applied Statistics, 47(2), 251-263. https://doi.org/10.1111/1467-9876.00110

Elamir, Elsayed A.H., Skinner, Chris J. (2006). Record level measures of disclosure risk for survey microdata. Journal of Official Statistics, 22(3), 525-539.

Elias, Peter, McKnight, Abigail (2001). Skill measurement in official statistics: recent developments in the UK and the rest of Europe. Oxford Economic Papers, 53(3), 508-540. https://doi.org/10.1093/oep/53.3.508

Elliot, M. J., Skinner, Chris J., Dale, A. (1998). Special uniques, random uniques and sticky populations: some counterintuitive effects of geographical detail on disclosure risk. Research in Official Statistics, 1, 53-67.

Ermisch, John, Steele, Fiona (2016). Fertility expectations and residential mobility in Britain. Demographic Research, 35, 1561-1584. https://doi.org/10.4054/DemRes.2016.35.54

Espinoza, Miguel, Prada, J.D. (2012). Identities for homogeneous utility functions. Diw Economics Bulletin, 32(3), 2026-2034.

Estrin, Saul, Uvalic, M. (2014). FDI into transition economies. Economics of Transition, 22(2), 281-312. https://doi.org/10.1111/ecot.12040

Faggio, Giulia, Silva, Olmo, Strange, William C. (2017). Heterogeneous agglomeration. Review of Economics and Statistics, 99(1), 80-94. https://doi.org/10.1162/REST_a_00604

Fahrenwaldt, Matthias, Furrer, Christian, Hiabu, Munir Eberhardt, Huang, Fei, Jørgensen, Frederik Hytting, Lindholm, Mathias, Loftus, Joshua, Steffensen, Mogens, Tsanakas, Andreas (2024). Fairness: plurality, causality, and insurability. European Actuarial Journal, 14(2), 317 - 328. https://doi.org/10.1007/s13385-024-00387-3 picture_as_pdf

Fairfield, Tasha, Charman, Andrew (2019). A Dialogue with the Data: the Bayesian foundations of iterative research in qualitative social science. Perspectives on Politics, 17(1), 154-167. https://doi.org/10.1017/S1537592718002177

Fairfield, Tasha, Charman, Andrew (2017). Explicit Bayesian analysis for process tracing: guidelines, opportunities, and caveats. Political Analysis, 25(3), 363 - 380. https://doi.org/10.1017/pan.2017.14

Falk, Carl F., Muthukrishna, Michael (2021). Parsimony in model selection: tools for assessing fit propensity. Psychological Methods, 28(1), 123-136. https://doi.org/10.1037/met0000422 picture_as_pdf

Fan, Jianqing, Hall, Peter, Yao, Qiwei (2007). To how many simultaneous hypothesis tests can normal student's t or bootstrap calibrations be applied. Journal of the American Statistical Association, 102(480), 1282-1288. https://doi.org/10.1198/016214507000000969

Fan, Jianqing, Wang, Mingjin, Yao, Qiwei (2008). Modelling multivariate volatilities via conditionally uncorrelated components. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 70(4), 679-702. https://doi.org/10.1111/j.1467-9868.2008.00654.x

Fan, Jianqing, Yao, Qiwei (1998). Efficient estimation of conditional variance functions in stochastic regression. Biometrika, 85(3), 645-660. https://doi.org/10.1093/biomet/85.3.645

Fan, Jianqing, Yao, Qiwei, Cai, Zongwu (2003). Adaptive varying co-efficient linear models. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 65(1), 57-80. https://doi.org/10.1111/1467-9868.00372

Fan, Jianqing, Yao, Qiwei, Tong, Howell (1996). Estimation of conditional densities and sensitivity measures in nonlinear dynamical systems. Biometrika, 83(1), 189-206. https://doi.org/10.1093/biomet/83.1.189

Fang, Qin, Guo, Shaojun, Qiao, Xinghao (2024). Adaptive functional thresholding for sparse covariance function estimation in high dimensions. Journal of the American Statistical Association, 119(546), 1473 - 1485. https://doi.org/10.1080/01621459.2023.2200522 picture_as_pdf

Fang, Qin, Guo, Shaojun, Qiao, Xinghao (2022). Finite sample theory for high-dimensional functional/scalar time series with applications. Electronic Journal of Statistics, 16(1), 527 - 591. https://doi.org/10.1214/21-EJS1960 picture_as_pdf

Farina, Nicolas, Jacobs, Roxanne, Turana, Yuda, Fitri, Fasihah Irfani, Schneider, Marguerite, Theresia, Imelda, Docrat, Sumaiyah, Sani, Tara Puspitarini, Augustina, Lydia & Albanese, Emiliano et al (2023). Comprehensive measurement of the prevalence of dementia in low- and middle-income countries: STRiDE methodology and its application in Indonesia and South Africa. BJPsych Open, 9(4). https://doi.org/10.1192/bjo.2023.76 picture_as_pdf

Favaro, Stefano, Panero, Francesca, Rigon, Tommaso (2021). Bayesian nonparametric disclosure risk assessment. Electronic Journal of Statistics, 15(2), 5626 - 5651. https://doi.org/10.1214/21-EJS1933 picture_as_pdf

Fay, Sophie, Lahlou, Saadi (2015). Préparez-vous au retournement du miroir numérique ! L’Obs,

Fazio, Ila, Mann, Vera, Boone, Peter (2011). Temporal trends (1977-2007) and ethnic inequity in child mortality in rural villages of southern Guinea Bissau. BMC Public Health, 11(683). https://doi.org/10.1186/1471-2458-11-683

Feinstein, Zachary, Sojmark, Andreas (2023). Contagious McKean–Vlasov systems with heterogeneous impact and exposure. Finance and Stochastics, 27(3), 663 - 711. https://doi.org/10.1007/s00780-023-00504-2 picture_as_pdf

Feinstein, Zachary, Sojmark, Andreas (2021). Short communication: dynamic default contagion in heterogeneous interbank systems. SIAM Journal on Financial Mathematics, 12(4), SC83-SC97. https://doi.org/10.1137/20M1376765 picture_as_pdf

Feng, Oliver Y., Chen, Yining, Han, Qiyang, Carroll, Raymond J, Samworth, Richard J. (2022). Nonparametric, tuning-free estimation of S-shaped functions. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 84(4), 1324 - 1352. https://doi.org/10.1111/rssb.12481 picture_as_pdf

Fenton, Alex (2012). Reduced statistics: housing and communities in england. Radical Statistics, 107, 70-77.

Fernholz, E. Robert, Karatzas, Ioannis, Ruf, Johannes (2018). Volatility and arbitrage. Annals of Applied Probability, 28(1), 378-417. https://doi.org/10.1214/17-AAP1308

Fisher, Stephen D., Kuha, Jouni, Payne, Clive (2010). Getting it right on the night, again- the 2010 UK general election exit poll. Journal of the Royal Statistical Society. Series A: Statistics in Society, 173(4), 699-701. https://doi.org/10.1111/j.1467-985X.2010.00659.x

Flandoli, Franco, Leocata, Marta, Livieri, Giulia, Morlacchi, Silvia, Corvino, Fausto, Pirni, Alberto (2025). Structural properties in the diffusion of the solar photovoltaic in Italy: individual people/householder vs firms. Decisions in Economics and Finance, https://doi.org/10.1007/s10203-025-00532-x picture_as_pdf

Fogel, Fajwel, d'Aspremont, Alexandre, Vojnovic, Milan (2016). Spectral ranking using seriation. Journal of Machine Learning Research, 17, 1 - 45.

Foldes, Lucien (1978). Martingale conditions for optimal saving: discrete time. Journal of Mathematical Economics, 5(1), 83-96. https://doi.org/10.1016/0304-4068(78)90007-1

Follain, Bertille, Wang, Tengyao, Samworth, Richard J. (2022). High-dimensional changepoint estimation with heterogeneous missingness. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 84(3), 1023 - 1055. https://doi.org/10.1111/rssb.12540 picture_as_pdf

Fontana, Roberto, Rapallo, Fabio, Wynn, Henry P. (2022). Circuits for robust designs. Statistical Papers, 63(5), 1537-1560. https://doi.org/10.1007/s00362-021-01285-6 picture_as_pdf

Forrester-Jones, Rachel, Carpenter, John, Coolen-Schrijner, Pauline, Cambridge, Paul, Tate, Alison, Beecham, Jennifer, Hallam, Angela, Knapp, Martin, Wooff, David (2006). The social networks of people with intellectual disability living in the community 12 years after resettlement from long-stay hospitals. Journal of Applied Research in Intellectual Disabilities, 19(4), 285-295. https://doi.org/10.1111/j.1468-3148.2006.00263.x

Forth, John, Bewley, Helen, Bryson, Alex, Dixon, Gill, Oxenbridge, Sarah (2010). Survey errors and survey costs: a response to Timming’s critique of the survey of employees questionnaire in WERS 2004. Work, Employment and Society, 24(3), 578-590. https://doi.org/10.1177/0950017010371647

Fouquet, Roger, Broadberry, Stephen (2015). Seven centuries of European economic growth and decline. Journal of Economic Perspectives, 29(4), 227-244. https://doi.org/10.1257/jep.29.4.227

Freeman, Mark C., Groom, Ben, Panopoulou, Ekaterini, Pantelidis, Theologos (2015). Declining discount rates and the Fisher Effect: inflated past, discounted future? Journal of Environmental Economics and Management, 73, 32-49. https://doi.org/10.1016/j.jeem.2015.06.003

French, Robert, Steele, Fiona (2015). Trajectories of functional disability for the elderly in Britain. Longitudinal and Life Course Studies, 6(3). https://doi.org/10.14301/llcs.v6i3.317

Frigg, Roman, Hoefer, Carl (2015). The best Humean system for statistical mechanics. Erkenntnis, 80(S3), 551-574. https://doi.org/10.1007/s10670-013-9541-5

Frigg, Roman, Smith, Leonard A., Stainforth, David A. (2015). An assessment of the foundational assumptions inhigh-resolution climate projections: the case of UKCP09. Synthese, 192(12), 3979-4008. https://doi.org/10.1007/s11229-015-0739-8

Fruet Dias, Gustavo, Papailias, Fotis, Scherrer, Cristina (2023). An econometric analysis of volatility discovery. Journal of Business and Economic Statistics, https://doi.org/10.1080/07350015.2023.2292178 picture_as_pdf

Fryzlewicz, P. (2013). High-dimensional volatility matrix estimation via waveletsand thresholding. Biometrika, 100(4), 921-938. https://doi.org/10.1093/biomet/ast033

Fryzlewicz, Piotr (2005). Modelling and forecasting financial log-returns as locally stationary wavelet processes. Journal of Applied Statistics, 32(5), 503-528.

Fryzlewicz, Piotr (2012). Rejoinder: time-threshold maps: using information from wavelet reconstructions with all threshold values simultaneously. Journal of the Korean Statistical Society, 41(2), 173-175. https://doi.org/10.1016/j.jkss.2012.02.008

Fryzlewicz, Piotr (2012). Time–Threshold Maps: Using information from wavelet reconstructions with all threshold values simultaneously. Journal of the Korean Statistical Society, 41(2), 145-159. https://doi.org/10.1016/j.jkss.2012.02.006

Fryzlewicz, Piotr (2010). Wavelet methods. Wiley Interdisciplinary Reviews: Computational Statistics, 2(6), 654-667. https://doi.org/10.1002/wics.124

Fryzlewicz, Piotr, Nason, Guy P. (2004). A Haar-Fisz algorithm for poisson intensity estimation. Journal of Computational and Graphical Statistics, 13(3), 621-638. https://doi.org/10.1198/106186004X2697

Fryzlewicz, Piotr, Oh, Hee-Seok (2010). On the thick-pen transformation for time series. Oberwolfach Reports, 7(1), 179-216. https://doi.org/10.4171/OWR/2010/05

Fryzlewicz, Piotr, Subba Rao, Suhasini (2011). Mixing properties of ARCH and time-varying ARCH processes. Bernoulli, 17(1), 320-346. https://doi.org/10.3150/10-BEJ270

Fryzlewicz, Piotr (2007). Bivariate hard thresholding in wavelet function estimation. Statistica Sinica, 17(4), 1457-1481.

Fryzlewicz, Piotr (2024). Book review: Telling stories with data: with applications in R. American Statistician, 78(4), 488 - 490. https://doi.org/10.1080/00031305.2024.2339562 picture_as_pdf

Fryzlewicz, Piotr (2008). Data-driven wavelet-Fisz methodology for nonparametric function estimation. Electronic Journal of Statistics, 2, 863-896. https://doi.org/10.1214/07-EJS139

Fryzlewicz, Piotr (2020). Detecting possibly frequent change-points: Wild Binary Segmentation 2 and steepest-drop model selection. Journal of the Korean Statistical Society, 49(4), 1027 - 1070. https://doi.org/10.1007/s42952-020-00060-x picture_as_pdf

Fryzlewicz, Piotr (2020). Detecting possibly frequent change-points: Wild Binary Segmentation 2 and steepest-drop model selection—rejoinder. Journal of the Korean Statistical Society, 49(4), 1099 - 1105. https://doi.org/10.1007/s42952-020-00085-2 picture_as_pdf

Fryzlewicz, Piotr (2018). Likelihood ratio Haar variance stabilization and normalization for Poisson and other non-Gaussian noise removal. Statistica Sinica, 28, 2885-2901. https://doi.org/10.5705/ss.202017.0029

Fryzlewicz, Piotr (2023). Narrowest Significance Pursuit: inference for multiple change-points in linear models. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2023.2211733 picture_as_pdf

Fryzlewicz, Piotr (2024). Robust Narrowest Significance Pursuit: inference for multiple change-points in the median. Journal of Business and Economic Statistics, 42(4), 1389-1402. https://doi.org/10.1080/07350015.2024.2316103 picture_as_pdf

Fryzlewicz, Piotr (2007). Unbalanced Haar technique for nonparametric function estimation. Journal of the American Statistical Association, 102(480), 1318-1327. https://doi.org/10.1198/016214507000000860

Fryzlewicz, Piotr (2014). Wild binary segmentation for multiple change-point detection. Annals of Statistics, 42(6), 2243-2281. https://doi.org/10.1214/14-AOS1245

Fryzlewicz, Piotr, Delouille, V´eronique, Nason, Guy P. (2007). GOES-8 X-ray sensor variance stabilization using the multiscale data-driven Haar-Fisz transform. Journal of the Royal Statistical Society. Series C: Applied Statistics, 56(1), 99-116. https://doi.org/10.1111/j.1467-9876.2007.00567.x

Fryzlewicz, Piotr, Nason, Guy P. (2006). Haar-Fisz estimation of evolutionary wavelet spectra. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 68(4), 611-634. https://doi.org/10.1111/j.1467-9868.2006.00558.x

Fryzlewicz, Piotr, Nason, Guy P., von Sachs, Rainer (2008). A wavelet-Fisz approach to spectrum estimation. Journal of Time Series Analysis, 29(5), 868-880. https://doi.org/10.1111/j.1467-9892.2008.00586.x

Fryzlewicz, Piotr, Oh, H. S. (2011). Thick pen transformation for time series. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 73(4), 499-529. https://doi.org/10.1111/j.1467-9868.2011.00773.x

Fryzlewicz, Piotr, Ombao, Hernando (2009). Consistent classification of non-stationary time series using stochastic wavelet representations. Journal of the American Statistical Association, 104(485), 299-312. https://doi.org/10.1198/jasa.2009.0110

Fryzlewicz, Piotr, Sapatinas, Theofanis, Subba Rao, Suhasini (2006). A Haar-Fisz technique for locally stationary volatility estimation. Biometrika, 93(3), 687-704. https://doi.org/10.1093/biomet/93.3.687

Fryzlewicz, Piotr, Sapatinas, Theofanis, Subba Rao, Suhasini (2008). Normalized least-squares estimation in time-varying ARCH models. Annals of Statistics, 36(2), 742-786. https://doi.org/10.1214/07-AOS510

Fryzlewicz, Piotr, van Bellegem, Sébastien, von Sachs, Rainer (2003). Forecasting non-stationary time series by wavelet process modelling. Annals of the Institute of Statistical Mathematics, 55(4), 737-764. https://doi.org/10.1007/BF02523391

Gaboardi, Marco, Skinner, Chris J. (2017). Special issue on the theory and practice of differential privacy. Journal of Privacy and Confidentiality, 7(2).

Galasso, Alberto, Schankerman, Mark (2024). Licensing life-saving drugs for developing countries: evidence from the medicines patent pool. The Review of Economics and Statistics, 106(6), 1529 – 1541. https://doi.org/10.1162/rest_a_01253 picture_as_pdf

Gao, J, Tong, Howell, Wolff, Rodney C (2002). Adaptive orthogonal series estimation in additive stochastic regression models. Statistica Sinica, 12(2), 409-428.

Gao, J, Wolff, R C L, Tong, Howell (2002). Model specification tests in nonparametric stochastic regression models. Journal of Multivariate Analysis, 83(2), 324-359. https://doi.org/10.1006/jmva.2001.2058

Gao, Jiti, Tong, Howell (2004). Semiparametric non-linear time series model selection. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 66(2), 321-336. https://doi.org/10.1111/j.1369-7412.2004.05303.x

Gao, Fengnan, Wang, Tengyao (2026). Detecting sparse change in regression coefficients in the presence of dense nuisance parameters. Information and Inference: A Journal of the IMA, [In Press] picture_as_pdf

Gao, Fengnan, Wang, Tengyao (2022). Two-sample testing of high-dimensional linear regression coefficients via complementary sketching. Annals of Statistics, https://doi.org/10.1214/22-AOS2216 picture_as_pdf

Gao, Wei, Bergsma, Wicher, Yao, Qiwei (2017). Estimation for dynamic and static panel probit models with large individual effects. Journal of Time Series Analysis, 38(2), 266-284. https://doi.org/10.1111/jtsa.12178

Gao, Xing, Meng, Jing, Ling, Yantao, Liao, Maolin, Cao, Mengqiu (2022). Localisation economies, intellectual property rights protection and entrepreneurship in China: a Bayesian analysis of multi-level spatial correlation. Structural Change and Economic Dynamics, 61, 156 - 165. https://doi.org/10.1016/j.strueco.2022.02.009 picture_as_pdf

Gao, Yuhe, Shi, Chengchun, Song, Rui (2023). Deep spectral Q-learning with application to mobile health. Stat, 12(1). https://doi.org/10.1002/sta4.564 picture_as_pdf

Gapeev, Pavel V. (2006). Discounted optimal stopping for maxima in diffusion models with finite horizon. Electronic Journal of Probability, 11(38), 1031-1048.

Gapeev, Pavel V. (2007). Discounted optimal stopping for maxima of some jump-diffusion processes. Journal of Applied Probability, 44(3), 713-731. https://doi.org/10.1239/jap/1189717540

Gapeev, Pavel V. (2004). On arbitage and Markovian short rates for fractional bond markets. Statistics and Probability Letters, 70(3), 211-222. https://doi.org/10.1016/j.spl.2004.10.008

Gapeev, Pavel V. (2007). Perpetual barrier options in jump-diffusion models. Stochastics: an International Journal of Probability and Stochastic Processes, 79(1), 139-154. https://doi.org/10.1080/17442500601086381

Gapeev, Pavel V., Küchler, U. (2006). On Markovian short rates in term structure models driven by different jump-diffusion processes. Statistics and Decisions, 24(2), 255-271. https://doi.org/10.1524/stnd.2006.24.2.255

Gapeev, Pavel V., Kühn, C. (2005). Perpetual convertible bonds in jump-diffusion models. Statistics and Decisions, 23(1), 15-31. https://doi.org/10.1524/stnd.2005.23.1.15

Gapeev, Pavel V., Peskir, G. (2006). The Wiener disorder problem with finite horizon. Stochastic Processes and Their Applications, 116(12), 1770-1791. https://doi.org/10.1016/j.spa.2006.04.005

Gapeev, Pavel V., Peskir, G. (2004). The Wiener sequential testing problem with finite horizen. Stochastics and Stochastic Reports, 76(1), 59-75. https://doi.org/10.1080/10451120410001663753

Gapeev, Pavel V., Reiss, M. (2006). An optimal stopping problem in a diffusion-type model with delay. Statistics and Probability Letters, 76(6), 601-608. https://doi.org/10.1016/j.spl.2005.09.006

Gapeev, Pavel V. (2022). Discounted optimal stopping problems in continuous hidden Markov models. Stochastics: an International Journal of Probability and Stochastic Processes, 94(3), 335 - 364. https://doi.org/10.1080/17442508.2021.1935952 picture_as_pdf

Gapeev, Pavel V. (2020). On the problems of sequential statistical inference for Wiener processes with delayed observations. Statistical Papers, 61(4), 1529-1544. https://doi.org/10.1007/s00362-020-01178-0 picture_as_pdf

Gapeev, Pavel V. (2020). Optimal stopping problems for running minima with positive discounting rates. Statistics and Probability Letters, 167, https://doi.org/10.1016/j.spl.2020.108899 picture_as_pdf

Gapeev, Pavel V. (2005). The disorder problem for compound Poisson processes with exponential jumps. Annals of Applied Probability, 15(1A), 487-499. https://doi.org/10.1214/105051604000000981

Gapeev, Pavel V., Jeanblanc, Monique (2024). On the construction of conditional probability densities in the Brownian and compound Poisson filtrations. ESAIM: Probability and Statistics, 28, 62 - 74. https://doi.org/10.1051/ps/2023022 picture_as_pdf

Gapeev, Pavel V., Jeanblanc, Monique, Wu, Dongli (2025). Projections in enlargements of filtrations under Jacod's absolute continuity hypothesis for marked point processes. Journal of Theoretical Probability, 38(4). https://doi.org/10.1007/s10959-025-01445-6 picture_as_pdf

Gascoigne, Connor, Jeffery, Annie, Shao, Zejing, Geneletti, Sara, Kirkbride, James B., Baio, Gianluca, Blangiardo, Marta (2024). A Bayesian interrupted time series framework for evaluating policy change on mental well-being: an application to England's welfare reform. Spatial and Spatio-temporal Epidemiology, 50, https://doi.org/10.1016/j.sste.2024.100662 picture_as_pdf

Gavioli-Akilagun, Shakeel (2024). Shakeel Gavioli-Akilagun's contribution to the discussion of the discussion meeting on probabilistic and statistical aspects of machine learning. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 86(2), 312 - 313. https://doi.org/10.1093/jrsssb/qkad142 picture_as_pdf

Gavioli-Akilagun, Shakeel, Fryzlewicz, Piotr (2025). Fast and optimal inference for change points in piecewise polynomials via differencing. Electronic Journal of Statistics, 19(1), 593 - 655. https://doi.org/10.1214/25-ejs2345 picture_as_pdf

Gazeley, Ian, Gutierrez Rufrancos, Hector, Newell, Andrew, Reynolds, Kevin, Searle, Rebecca (2017). The poor and the poorest, 50 years on: evidence from British Household Expenditure Surveys of the 1950s and 1960s. Journal of the Royal Statistical Society. Series A: Statistics in Society, 180(2), 455 - 474. https://doi.org/10.1111/rssa.12202

Geminiani, Elena, Marra, Giampiero, Moustaki, Irini (2021). Single and multiple-group penalized factor analysis: a trust-region algorithm approach with integrated automatic multiple tuning parameter selection. Psychometrika, 86(1), 65 - 95. https://doi.org/10.1007/s11336-021-09751-8 picture_as_pdf

Geneletti, Sara, Best, Nicky, Toledano, M. B., Elliott, Paul, Richardson, Sylvia (2013). Uncovering selection bias in case-control studies using Bayesian post-stratification. Statistics in Medicine, 32(15), 2555-2570. https://doi.org/10.1002/sim.5722

Geneletti, Sara, Gallo, Valentina, Porta, Miquel, Khoury, Muin J., Vineis, Paolo (2011). Assessing causal relationships in genomics: from Bradford-Hill criteria to complex gene-environment interactions and directed acyclic graphs. Emerging Themes in Epidemiology, 8(5). https://doi.org/10.1186/1742-7622-8-5

Geneletti, Sara, Richardson, Sylvia, Best, Nicky (2008). Adjusting for selection bias in retrospective, case-control studies. Biostatistics, 10(1), 17-31. https://doi.org/10.1093/biostatistics/kxn010

Geneletti, Sara, Baio, Gianluca, O'Keeffe, Aidan, Ricciardi, Federico (2019). Bayesian modelling for binary outcomes in the regression discontinuity design. Journal of the Royal Statistical Society. Series A: Statistics in Society, 182(3), 983-1002. https://doi.org/10.1111/rssa.12440 picture_as_pdf

Geneletti, Sara, Mason, Alexina, Best, Nicky (2011). Adjusting for selection effects in epidemiologic studies: why sensitivity analysis is the only “solution”. Epidemiology, 22(1), 36-39. https://doi.org/10.1097/EDE.0b013e3182003276

Geneletti, Sara, O'Keeffe, Aidan G., Sharples, Linda D., Richardson, Sylvia, Baio, Gianluca (2015). Bayesian regression discontinuity designs: incorporating clinical knowledge in the causal analysis of primary care data. Statistics in Medicine, 34(15), 2334 - 2352. https://doi.org/10.1002/sim.6486

Giammarino, Flavia, Barrieu, Pauline (2009). A semiparametric model for the systematic factors of portfolio credit risk premia. Journal of Empirical Finance, 16(4), 655-670. https://doi.org/10.1016/j.jempfin.2009.05.001

Giglio, Beatrice, Wynn, Henry (2004). Monomial ideals and the scarf complex for coherent systems in reliability theory. Annals of Statistics, 32(3), 1289-1311. https://doi.org/10.1214/009053604000000373

Gilmour, Isla, Smith, Leonard A., Buizza, Roberto (2001). Linear regime duration: is 24 hours a long time in synoptic weather forecasting? Journal of the Atmospheric Sciences, 58(22), 3525-3539. https://doi.org/10.1175/1520-0469(2001)058<3525:LRDIHA>2.0.CO;2

Ginsburg, Carren, Steele, Fiona, Richter, Linda M., Norris, Shane A. (2011). Modelling residential mobility: factors associated with the movement of children in Greater Johannesburg, South Africa. Population, Space and Place, 17(5), 611-626. https://doi.org/10.1002/psp.614

Giraitis, Liudas, Kokoszka, Piotr, Leipus, Remigijus, Teyssière, Gilles (2000). Semiparametric estimation of the intensity of long memory in conditional heteroskedasticity. Statistical Inference for Stochastic Processes, 3(1-2), 113-128. https://doi.org/10.1023/A:1009951213271

Giraitis, Liudas, Robinson, Peter M., Samarov, Alexander (2000). Adaptive semiparametric estimation of the memory parameter. Journal of Multivariate Analysis, 72(2), 183-207. https://doi.org/10.1006/jmva.1999.1865

Giraitis, L., Robinson, P.M. (2003). Edgeworth expansions for semiparametric Whittle estimation of long memory. Annals of Statistics, 31(4), 1325-1375. https://doi.org/10.1214/aos/1059655915

Giraitis, L, Hidalgo, J, Robinson, Peter M. (2001). Gaussian estimation of parametric spectral density with unknown pole. Annals of Statistics, 29(4), 987-1023. https://doi.org/10.1214/aos/1013699989

Giraitis, Liudas, Leipus, Remigijus, Robinson, Peter M., Surgailis, Donatas (2004). LARCH, leverage, and long memory. Journal of Financial Econometrics, 2(2), 177-210. https://doi.org/10.1093/jjfinec/nbh008

Giraitis, Liudas, Robinson, Peter M., Surgailis, Donatas (2000). A model for long memory conditional heteroscedasticity. Annals of Applied Probability, 10(3), 1002-1024.

Glyn-Davies, Alex, Vadeboncoeur, Arnaud, Akyildiz, O. Deniz, Kazlauskaite, Ieva, Girolami, Mark (2025). A primer on variational inference for physics-informed deep generative modelling. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 383(2299). https://doi.org/10.1098/rsta.2024.0324 picture_as_pdf

Goldstein, Harvey, Lynn, Peter, Muniz-Terrera, Graciela, Hardy, Rebecca, O’Muircheartaigh, Colm, Skinner, Chris J., Lehtonen, Risto (2015). Population sampling in longitudinal surveys. Longitudinal and Life Course Studies, 6(4), 447-475. https://doi.org/10.14301/llcs.v6i4.345 picture_as_pdf

Goracci, Greta, Giannerini, Simone, Chan, Kung Sik, Tong, Howell (2023). Testing for threshold effects in the Tarma framework. Statistica Sinica, 33(3), 1879-1901. https://doi.org/10.5705/ss.202021.0120

Gordon, Ian R., Champion, Tony, Coombes, Mike (2015). Urban escalators and interregional elevators: the difference that location, mobility, and sectoral specialisation make to occupational progression. Environment and Planning A, 47(3), 588-606. https://doi.org/10.1068/a130125p

Grant, Charles, Koulovatianos, Christos, Michaelides, Alexander, Padula, Mario (2010). Evidence on the insurance effect of redistributive taxation. Review of Economics and Statistics, 92(4), 965-973. https://doi.org/10.1162/REST_a_00040

Grattan-Guinness, Ivor (2014). From anomaly to fundament: Louis Poinsotʼs theories of the couple in mechanics. Historia Mathematica, 41(1), 82-102. https://doi.org/10.1016/j.hm.2013.08.002

Griffin, Jim E., Mitrodima, Gelly (2020). A Bayesian quantile time series model for asset returns. Journal of Business and Economic Statistics, https://doi.org/10.1080/07350015.2020.1766470 picture_as_pdf

Guasoni, Paolo, Kardaras, Constantinos, Robertson, Scott, Xing, Hao (2014). Abstract, classic, and explicit turnpikes. Finance and Stochastics, 18(1), 75-114. https://doi.org/10.1007/s00780-013-0216-5

Guastadisegni, Lucia, Cagnone, Silvia, Moustaki, Irini, Vasdekis, Vassilis (2022). Use of the Lagrange multiplier test for assessing measurement invariance under model misspecification. Educational and Psychological Measurement, 82(2), 254 - 280. https://doi.org/10.1177/00131644211020355 picture_as_pdf

Guastadisegni, Lucia, Cagnone, Silvia, Moustaki, Irini, Vasdekis, Vassilis (2025). The generalized Hausman test for detecting non-normality in the latent variable distribution of the two-parameter IRT model. British Journal of Mathematical and Statistical Psychology, 78(3), 734 - 756. https://doi.org/10.1111/bmsp.12379 picture_as_pdf

Guerrero, Alexandra, Smith, Leonard A. (2005). A maximum likelihood estimator for long-range persistence. Physica A: Statistical Mechanics and Its Applications, 355(2-4), 619-632. https://doi.org/10.1016/j.physa.2005.03.002

Guo, Shaojun, Qiao, Xinghao (2023). On consistency and sparsity for high-dimensional functional time series with application to autoregressions. Bernoulli, 29(1), 451 - 472. https://doi.org/10.3150/22-BEJ1464 picture_as_pdf

Gyenis, Balázs, Rédei, Miklós (2004). When can statistical theories be causally closed? Foundations of Physics, 34(9), 1285-1303. https://doi.org/10.1023/B:FOOP.0000044094.09861.12

Haddon, Leslie, Ponte, Cristina (2012). A Pan-European study on children's online experiences: contributions from cognitive testing. OBServatorio (OBS*), 6(2), 239-257.

Hafez, Mai Sherif, Moustaki, Irini, Kuha, Jouni (2015). Analysis of multivariate longitudinal data subject to nonrandom dropout. Structural Equation Modeling, 22(2), 193-201. https://doi.org/10.1080/10705511.2014.936086

Hakim, Catherine (1980). Census reports as documentary evidence: the census commmentaries 1801-1951. Sociological Review, 28(3), 551-580.

Hakim, Catherine (1984). Data dissemination for the population census. Social Science Information Studies, 4(4), 273-282. https://doi.org/10.1016/0143-6236(84)90003-6

Hakim, Catherine (1980). Integrated social data systems: the role of household censuses and surveys as sources of social, demographic and manpower data in Britain. Social Science Information Studies, 1(1), 13-21. https://doi.org/10.1016/0143-6236(80)90004-6

Hakim, Catherine (1994). Using the LS and the SARs in the context of research on occupational change. The OPCS Longitudinal Study, (8),

Halford, Susan, Savage, Mike (2017). Speaking sociologically with big data: symphonic social science and the future for big data research. Sociology, 51(6), 1132-1148. https://doi.org/10.1177/0038038517698639

Hall, Peter, Peng, Liang, Yao, Qiwei (2002). Moving-maximum models for extrema of time series. Journal of Statistical Planning and Inference, 103(1-2), 51-63. https://doi.org/10.1016/S0378-3758(01)00197-5

Hall, Peter, Peng, Liang, Yao, Qiwei (2002). Prediction and nonparametric estimation for time series with heavy tails. Journal of Time Series Analysis, 23(3), 313-331. https://doi.org/10.1111/1467-9892.00266

Hall, Peter, Wolff, Rodney C. L., Yao, Qiwei (1999). Methods for estimating a conditional distribution function. Journal of the American Statistical Association, 94(445), 154-163.

Hall, Peter, Yao, Qiwei (2005). Approximating conditional distribution functions using dimension reduction. Annals of Statistics, 33(3), 1404-1421. https://doi.org/10.1214/009053604000001282

Hall, Peter, Yao, Qiwei (2003). Date tilting for time series. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 65(2), 425-442. https://doi.org/10.1111/1467-9868.00394

Hall, Peter, Yao, Qiwei (2003). Inference in ARCH and GARCH models with heavy-tailed errors. Econometrica, 71(1), 285-317. https://doi.org/10.1111/1468-0262.00396

Hall, Peter, Yao, Qiwei (2003). Inference in components of variance models with low replication. Annals of Statistics, 31(2), 414-441.

Hambly, Ben, Petronilia, Aldaïr, Reisinger, Christoph, Rigger, Stefan, Søjmark, Andreas (2025). Contagious McKean–Vlasov problems with common noise: from smooth to singular feedback through hitting times. Electronic Journal of Probability, 30, https://doi.org/10.1214/25-EJP1347 picture_as_pdf

Hana, Yuefeng, Chenb, Rong, Zhangb, Cun-Hui, Yao, Qiwei (2023). Simultaneous decorrelation of matrix time series. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2022.2151448 picture_as_pdf

Hanly, Mark, Clarke, Paul, Steele, Fiona (2016). Sequence analysis of call record data: exploring the role of different cost settings. Journal of the Royal Statistical Society. Series A: Statistics in Society, 179(3), 793-808. https://doi.org/10.1111/rssa.12143

Hansen, James A., Smith, Leonard A. (2001). Probabilistic noise reduction. Tellus Series A: Dynamic Meteorology and Oceanography, 53(5), 585-598. https://doi.org/10.1034/j.1600-0870.2001.00118.x

Hansen, Sakina (2025). Exclusion or efficiency: understanding perspectives about AI ethics among charity workers in the United Kingdom. Proceedings of Machine Learning Research, 294, 457 - 473. picture_as_pdf

Hansen, Sakina, Loftus, Joshua (2023). Model-agnostic auditing a lost cause? CEUR Workshop Proceedings, 3442, picture_as_pdf

Hasenzagl, Thomas, Pellegrino, Filippo, Reichlin, Lucrezia, Ricco, Giovanni (2022). A model of the Fed's view on inflation. Review of Economics and Statistics, 104(4), 686 - 704. https://doi.org/10.1162/rest_a_00974

Hau, M C, Tong, Howell (1990). A practical method for outlier detection in autoregressive time series modelling. Stochastic Hydrology and Hydraulics, 3(4), 241-260. https://doi.org/10.1007/BF01543459

Heesen, Remco, Bright, Liam Kofi (2025). Publication bias is bad for science if not necessarily scientists. Royal Society Open Science, 12(4). https://doi.org/10.1098/rsos.240688 picture_as_pdf

Hejazi, T. H., Bashiri, Mahdi, Noghondarian, Kazem, Atkinson, Anthony C. (2010). Multiresponse optimization with consideration of probabilistic covariates. Quality and Reliability Engineering International, 27(4), 437-449. https://doi.org/10.1002/qre.1133

Helske, Satu, Steele, Fiona, Kokko, Katja, Räikkönen, Eija, Eerola, Mervi (2015). Partnership formation and dissolution over the life course: applying sequence analysis and event history analysis in the study of recurrent events. Longitudinal and Life Course Studies, 6(1), 1-25. https://doi.org/10.14301/llcs.v6i1.290

Hidalgo, Javier (2005). Semiparametric estimation for stationary processes whose spectra have an unknown pole. Annals of Statistics, 33(4), 1843-1889. https://doi.org/10.1214/009053605000000318

Hidalgo, Javier, Delgado, Miguel, Velasco, Carlos (2005). Distribution free goodness-of-fit tests for linear processes. Annals of Statistics, 33(6), 2568-2609. https://doi.org/10.1214/009053605000000606

Hidalgo, Javier (2021). Bootstrap long memory processes in the frequency domain. Annals of Statistics, 49(3), 1407 - 1435. https://doi.org/10.1214/20-AOS2006 picture_as_pdf

Hill, Craig A., Biemer, Paul, Buskirk, Trent, Callegaro, Mario, Cordova Cazar, Ana Lucia, Eck, Adam, Japec, Lilli, Kirchner, Antje, Kolenikov, Stas & Lyberg, Lars et al (2019). Exploring new statistical frontiers at the intersection of survey science and big data convergence at "BigSurv18". Survey Research Methods, 13(1), 123-135. https://doi.org/10.18148/srm/2019.v1i1.7467

Hill, Theodore P., Arden, Rosalind (2023). Recurring errors in studies of gender differences in variability. Stats, 6(2), 519-525. https://doi.org/10.3390/stats6020033 picture_as_pdf

Hjellvik, Vidar, Yao, Qiwei, Tjostheim, Dag (1998). Linearity testing using local polynominal approximation. Journal of Statistical Planning and Inference, 68(2), 295-321. https://doi.org/10.1016/S0378-3758(97)00146-8

Hofer-Szabo, Gabor, Rédei, Miklós, Szabo, László E. (2002). Common-causes are not common common-causes. Philosophy of Science, 69(4), 623-636. https://doi.org/10.1086/344625

Hogh, N., Linton, Oliver, Nielsen, J.P. (2006). The Froot-Stein model revisited. Annals of Actuarial Science, 1(1), 37-47. https://doi.org/10.1017/S174849950000004X

Holmes, D. J., Skinner, Chris J. (1998). Estimating the re-identification risk per record in microdata. Journal of Official Statistics, 14(4), 361-372.

Hortala-Vallve, Rafael, Llorente-Saguer, Aniol (2012). Pure strategy Nash equilibria in non-zero sum colonel Blotto games. International Journal of Game Theory, 41(2), 331-343. https://doi.org/10.1007/s00182-011-0288-4

Horvath, Blanka, Jacquier, Antoine, Muguruza, Aitor, Søjmark, Andreas (2024). Functional central limit theorems for rough volatility. Finance and Stochastics, 28(3), 615 - 661. https://doi.org/10.1007/s00780-024-00533-5 picture_as_pdf

Howard, J. V. (2009). Significance testing with no alternative hypothesis: a measure of surprise. Erkenntnis, 70(2), 253-270. https://doi.org/10.1007/s10670-008-9148-4

Howson, Colin (2007). Logic with numbers. Synthese, 156(3), 491-512. https://doi.org/10.1007/s11229-006-9135-8

Howson, Colin (2017). Putting on the Garber style? Better not. Philosophy of Science, 84(4), 659-676. https://doi.org/10.1086/693466

Hualde, J., Robinson, Peter (2010). Semiparametric inference in multivariate fractionally cointegrated systems. Journal of Econometrics, 157(2), 492-511. https://doi.org/10.1016/j.jeconom.2010.04.002

Hualde, Javier, Robinson, Peter (2011). Gaussian pseudo-maximum likelihood estimation of fractional time series models. Annals of Statistics, 39(6), 3152-3181. https://doi.org/10.1214/11-AOS931SUPP

Huang, Da, Wang, Hansheng, Yao, Qiwei (2008). Estimating GARCH models: when to use what? Econometrics Journal, 11(1), 27-38. https://doi.org/10.1111/j.1368-423X.2008.00229.x

Huang, Na, Fryzlewicz, Piotr (2018). NOVELIST estimator of large correlation and covariance matrices and their inverses. Test, https://doi.org/10.1007/s11749-018-0592-4

Huang, Zengfeng, Radunovic, Bozidar, Vojnovic, Milan, Zhang, Qin (2020). Communication complexity of approximate maximum matching in the message-passing model. Distributed Computing, 33(6), 515 - 531. https://doi.org/10.1007/s00446-020-00371-6 picture_as_pdf

Idowu, Victory (2017). The model validator’s manifesto. Actuaries Digital,

Iglesias, Rodrigo, Mohammadi, Fatemah, Pascual-Ortigosa, Patricia, Sáenz-de-Cabezón, Eduardo, Wynn, Henry (2024). Stable coherent systems. Applicable Algebra in Engineering, Communication and Computing, https://doi.org/10.1007/s00200-024-00665-3

Jamil, Haziq, Moustaki, Irini, Skinner, Chris J. (2025). Pairwise likelihood estimation and limited-information goodness-of-fit test statistics for binary factor analysis models under complex survey sampling. British Journal of Mathematical and Statistical Psychology, 78(1), 258 - 285. https://doi.org/10.1111/bmsp.12358 picture_as_pdf

Jang, Jiwook, Dassios, Angelos (2013). A bivariate shot noise self-exciting process for insurance. Insurance: Mathematics and Economics, 53(3), 524-532. https://doi.org/10.1016/j.insmatheco.2013.08.003

Jarman, Alexander, Smith, Leonard A. (2018). Quantifying the predictability of a predictand: demonstrating the diverse roles of serial dependence in the estimation of forecast skill. Quarterly Journal of the Royal Meteorological Society, https://doi.org/10.1002/qj.3384 picture_as_pdf

Jeffrey, Andrew, Linton, Oliver, Nguyen, Thong (2006). Flexible term structure estimation: which method is preferred. Metrika, 63(1), 99-122. https://doi.org/10.1007/s00184-005-0017-8

Jena, Rudra P., Kim, Kyoung-Kuk, Xing, Hao (2012). Long-term and blow-up behaviors of exponential moments in multi-dimensional affine diffusions. Stochastic Processes and Their Applications, 122(8), 2961-2993. https://doi.org/10.1016/j.spa.2012.05.007

Jenkins, Stephen P. (2020). Comparing distributions of ordinal data. Stata Journal, 20(3), 505 - 531. https://doi.org/10.1177/1536867X20953565 picture_as_pdf

Jenkins, Stephen P., Burkhauser, Richard V., Feng, Shuaizhang, Larrimore, Jeff (2011). Measuring inequality using censored data: a multiple-imputation approach to estimation and inference. Journal of the Royal Statistical Society. Series A: Statistics in Society, 174(1), 63-81. https://doi.org/10.1111/j.1467-985X.2010.00655.x

Jenkins, Stephen P., Rios-Avila, Fernando (2020). Modelling errors in survey and administrative data on employment earnings: sensitivity to the fraction assumed to have error-free earnings. Economics Letters, 192, https://doi.org/10.1016/j.econlet.2020.109253 picture_as_pdf

Jenkins, Stephen P., Rios-Avila, Fernando (2023). Reconciling reports: modelling employment earnings and measurement errors using linked survey and administrative data. Journal of the Royal Statistical Society. Series A: Statistics in Society, 186(1), 110 - 136. https://doi.org/10.1093/jrsssa/qnac003 picture_as_pdf

Jessen, Jonas, Spieß, Christa Katharina, Waights, Sevrin (2022). Centre-based care and parenting activities. Oxford Bulletin of Economics and Statistics, 84(6), 1356 - 1379. https://doi.org/10.1111/obes.12505 picture_as_pdf

Jiang, Binyan, Li, Jialiang, Yao, Qiwei (2023). Autoregressive networks. Journal of Machine Learning Research, picture_as_pdf

Jin, Shaobo, Moustaki, Irini, Yang-Wallentin, Fan (2018). Approximated penalized maximum likelihood for exploratory factor analysis: an orthogonal case. Psychometrika, 83(3), 628-649. https://doi.org/10.1007%2Fs11336-018-9623-z

Johnson, Timothy C., Zervos, Mihail (2010). The explicit solution to a sequential switching problem with non-smooth data. Stochastics: an International Journal of Probability and Stochastic Processes, 82(1), 69-109. https://doi.org/10.1080/17442500903106606

Judd, Kevin, Smith, Leonard A., Weisheimer, Antje (2007). How good is an ensemble at capturing truth?: using bounding boxes for forecast evaluation. Quarterly Journal of the Royal Meteorological Society, 133(626), 1309-1325. https://doi.org/10.1002/qj.111

Jöreskog, Karl G., Moustaki, Irini (2001). Factor analysis of ordinal variables: a comparison of three approaches. Multivariate Behavioral Research, 36(3), 347-387. https://doi.org/10.1207/S15327906347-387

Kabanov, Yuri, Kardaras, Constantinos, Song, Shiqi (2016). No arbitrage of the first kind and local martingale numéraires. Finance and Stochastics, 20(4), 1097-1108. https://doi.org/10.1007/s00780-016-0310-6

Kalashnikov, Vladimir, Norberg, Ragnar (2002). Power tailed ruin probabilities in the presence of risky investments. Stochastic Processes and Their Applications, 98(2), 211-228. https://doi.org/10.1016/S0304-4149(01)00148-X

Kalinke, Florian, Szabo, Zoltan (2023). Nyström M-Hilbert-Schmidt independence criterion. Proceedings of Machine Learning Research, 216, 1005-1015. picture_as_pdf

Kallsen, Jan, Rheinlander, Thorsten (2011). Asymptotic utility-based pricing and hedging for exponential utility. Statistics and Decisions, 28(1), 17-36. https://doi.org/10.1524/stnd.2011.1027

Kalogeropoulos, Konstantinos (2007). Likelihood-based inference for a class of multivariate diffusions with unobserved paths. Journal of Statistical Planning and Inference, 137(10), 3092-3102. https://doi.org/10.1016/j.jspi.2006.05.017

Kanazawa, Satoshi (1998). A possible solution to the paradox of voter turnout. Journal of Politics, 60(4), 974-995. https://doi.org/10.2307/2647727

Kang, Xinyu, Fryzlewicz, Piotr, Chu, Catherine, Kramer, Mark, Kolaczyk, Eric D. (2018). Multiscale network analysis through tail-greedy bottom-up approximation, with applications in neuroscience. 2017 51st Asilomar Conference on Signals, Systems, and Computers, 1549-1554. https://doi.org/10.1109/ACSSC.2017.8335617

Karch, Julian D., Perez-Alonso, Andres F., Bergsma, Wicher P. (2024). Beyond Pearson’s correlation: modern nonparametric independence tests for psychological research. Multivariate Behavioral Research, 59(5), 957 - 977. https://doi.org/10.1080/00273171.2024.2347960 picture_as_pdf

Kardaras, Constantinos (2012). Market viability via absence of arbitrage of the first kind. Finance and Stochastics, 16(4), 651-667. https://doi.org/10.1007/s00780-012-0172-5

Kardaras, Constantinos (2014). On the characterisation of honest times that avoid all stopping times. Stochastic Processes and Their Applications, 124(1), 373-384. https://doi.org/10.1016/j.spa.2013.07.012

Kardaras, Constantinos (2014). Uniform integrability and local convexity in L0. Journal of Functional Analysis, 266(4), 1913-1927. https://doi.org/10.1016/j.jfa.2013.12.008

Kardaras, Constantinos, Žitković, Gordan (2011). Stability of the utility maximization problem with random endowment in incomplete markets. Mathematical Finance, 21(2), 313-333. https://doi.org/10.1111/j.1467-9965.2010.00433.x

Kardaras, Constantinos (2010). Numéraire-invariant preferences in financial modeling. Annals of Applied Probability, 20(5), 1697-1728. https://doi.org/10.1214/09-AAP669

Kardaras, Constantinos (2013). On the closure in the Emery topology of semimartingale wealth-process sets. Annals of Applied Probability, 23(4), 1355-1376. https://doi.org/10.1214/12-AAP872

Kardaras, Constantinos (2015). On the stochastic behaviour of optional processes up to random times. Annals of Applied Probability, 25(2), 429-464. https://doi.org/10.1214/13-AAP976

Kardaras, Constantinos (2024). Stochastic integration with respect to arbitrary collections of continuous semimartingales and applications to mathematical finance. Annals of Applied Probability, 34(3), 2566 - 2599. https://doi.org/10.1214/23-AAP1942 picture_as_pdf

Kardaras, Constantinos, Kreher, Dörte, Nikeghbali, Ashkan (2015). Strict local martingales and bubbles. Annals of Applied Probability, 25(4), 1827-1867. https://doi.org/10.1214/14-AAP1037

Kardaras, Constantinos, Obłój, Jan, Platen, Eckhard (2017). The numéraire property and long-term growth optimality for drawdown-constrained investments. Mathematical Finance, 27(1), 68-95. https://doi.org/10.1111/mafi.12081

Kardaras, Constantinos, Robertson, Scott (2017). Continuous-time perpetuities and time reversal of diffusions. Finance and Stochastics, 21(1), 65-110. https://doi.org/10.1007/s00780-016-0308-0

Kardaras, Constantinos, Robertson, Scott (2021). Ergodic robust maximization of asymptotic growth. Annals of Applied Probability, 31(4), 1787-1819. https://doi.org/10.1214/20-AAP1634 picture_as_pdf

Kardaras, Constantinos, Robertson, Scott (2012). Robust maximization of asymptotic growth. Annals of Applied Probability, 22(4), 1576-1610. https://doi.org/10.1214/11-AAP802

Kardaras, Constantinos, Ruf, Johannes (2019). Projections of scaled bessel processes. Electronic Communications in Probability, 24, https://doi.org/10.1214/19-ECP246 picture_as_pdf

Katsikatsou, Myrsini, Moustaki, Irini, Md Jamil, Haziq (2022). Pairwise likelihood estimation for confirmatory factor analysis models with categorical variables and data that are missing at random. British Journal of Mathematical and Statistical Psychology, 75(1), 23 - 45. https://doi.org/10.1111/bmsp.12243 picture_as_pdf

Katsikatsou, Myrsini, Moustaki, Irini, Yang-Wallentin, Fan, Jöreskog, Karl G. (2012). Pairwise likelihood estimation for factor analysis models with ordinal data. Computational Statistics and Data Analysis, 56(12), 4243-4258. https://doi.org/10.1016/j.csda.2012.04.010

Katzav, Joel, Thompson, Erica L., Risbey, James, Stainforth, David A., Bradley, Seamus, Frisch, Mathias (2021). On the appropriate and inappropriate uses of probability distributions in climate projections and some alternatives. Climatic Change, 169(1-2). https://doi.org/10.1007/s10584-021-03267-x picture_as_pdf

Kibuchi, Eliud, Durrant, Gabriele B., Maslovskaya, Olga, Sturgis, Patrick (2024). An assessment of the utility of a Bayesian framework to improve response propensity modes in longitudinal data. Survey Research Methods, 18(3), 273 - 287. https://doi.org/10.18148/srm/2024.v18i3.8188 picture_as_pdf

Kibuchi, Eliud, Sturgis, Patrick, Durrant, Gabriele B., Maslovskaya, Olga (2024). The efficacy of propensity score matching for separating selection and measurement effects across different survey modes. Journal of Survey Statistics and Methodology, 12(3), 764 - 789. https://doi.org/10.1093/jssam/smae017 picture_as_pdf

Kiesel, Rüdiger (2001). Nonparametric statistical methods and the pricing of derivative securities. Journal of Applied Mathematics and Decision Sciences, 6(1), 1-22. https://doi.org/10.1155/S1173912602000019

Kleffe, Jürgen, Norberg, Ragnar (2001). Minimum norm estimation of variance components for life insurance data. Communications in Statistics - Theory and Methods, 30(8/9), 1591-1603. https://doi.org/10.1081/STA-100105686

Kley, Tobias, Preuss, Philip, Fryzlewicz, Piotr (2019). Predictive, finite-sample model choice for time series under stationarity and non-stationarity. Electronic Journal of Statistics, 13(2), 3710 - 3774. https://doi.org/10.1214/19-EJS1606 picture_as_pdf

Knapp, Martin (2006). The economics of group care practice: a reappraisal. Child and Youth Services, 28(1-2), 259-284. https://doi.org/10.1300/J024v28n01_05

Knott, Martin (2005). A measure of independence for a multivariate normal distribution and some connections with factor analysis. Journal of Multivariate Analysis, 96(2), 374-383. https://doi.org/10.1016/j.jmva.2004.10.013

Knott, Martin, Smith, Cyril (2006). Choosing joint distributions so that the variance of the sum is small. Journal of Multivariate Analysis, 97(8), 1757-1765. https://doi.org/10.1016/j.jmva.2006.01.004

Kobayashi, Kei, Wynn, Henry P. (2020). Empirical geodesic graphs and CAT(k) metrics for data analysis. Statistics and Computing, 30(1), 1 - 18. https://doi.org/10.1007/s11222-019-09855-3

Komarova, Tatiana (2013). A new approach to identifying generalized competing risks models with application to second-price auctions. Quantitative Economics, 4(2), 269-328. https://doi.org/10.3982/QE111

Komarova, Tatiana, Hidalgo, Javier (2023). Testing nonparametric shape restrictions. Annals of Statistics, 51(6), 2299 - 2317. https://doi.org/10.1214/23-AOS2311 picture_as_pdf

Kong, Efang, F, Tong, Howell, Xia, Yingcun (2010). Statistical modelling of nonlinear long-term cumulative effects. Statistica Sinica, 20(3), 1097-1123.

Kotecha, Meena (2011). Enhancing students’ engagement through effective feedback, assessment and engaging activities. MSOR Connections, 11(2), 4-6. https://doi.org/10.11120/msor.2011.11020004

Kotecha, Meena (2023). How can educators prevent the development of mathematics anxiety? Research for the World, picture_as_pdf

Koukorinis, Andreas, Peters, Gareth W., Germano, Guido (2025). Generative-discriminative machine learning models for high-frequency financial regime classification. Methodology and Computing in Applied Probability, 27, https://doi.org/10.1007/s11009-025-10148-8 picture_as_pdf

Krauss, Alexander (2021). Assessing the overall validity of randomised controlled trials. International Studies in the Philosophy of Science, 34(3), 159 - 182. https://doi.org/10.1080/02698595.2021.2002676 picture_as_pdf

Kreiss, Alexander, Van Keilegom, Ingrid (2022). Semi-parametric estimation of incubation and generation times by means of Laguerre polynomials. Journal of Nonparametric Statistics, 34(3), 570 - 606. https://doi.org/10.1080/10485252.2022.2028281 picture_as_pdf

Kreiss, Jens-Peter, Neumann, Michael H., Yao, Qiwei (2008). Bootstrap tests for simple structures in nonparametric time series regression. Statistics and Its Interface, 1(2), 367-380.

Krueger, Alan, Pischke, Jorn-Steffen (1997). A statistical analysis of crime against foreigners in unified Germany. Journal of Human Resources, 32, 182-209.

Kuha, Jouni, Akritas, Michael G, Antoniou, Efi S (2006). Nonparametric analysis of factorial designs with random missingness: Bivariate data. Journal of the American Statistical Association, 101(476), 1513-1526. https://doi.org/10.1198/016214506000000537

Kuha, Jouni, Butt, Sarah, Katsikatsou, Myrsini, Skinner, Chris J. (2017). Probing of "don't know'' responses in surveys. MethodsNews, 3(2017), p. 6.

Kuha, Jouni, Firth, David (2011). On the index of dissimilarity for lack of fit in loglinear and log-multiplicative models. Computational Statistics and Data Analysis, 55(1), 375-388. https://doi.org/10.1016/j.csda.2010.05.005

Kuha, Jouni, Goldthorpe, John H. (2010). Path analysis for discrete variables: the role of education in social mobility. Journal of the Royal Statistical Society. Series A: Statistics in Society, 173(2), 351-369. https://doi.org/10.1111/j.1467-985X.2009.00620.x

Kuha, Jouni, Skrondal, Anders (2007). Discussion of the paper by Handcock, Rafferty and Tantrum. Journal of the Royal Statistical Society. Series A: Statistics in Society, 170(2), 341-342. https://doi.org/10.1111/j.1467-985X.2007.00471.x

Kuha, Jouni, Temple, Jonathan (2003). Covariate measurement error in quadratic regression. International Statistical Review, 71(1), 131-150. https://doi.org/10.1111/j.1751-5823.2003.tb00189.x

Kuha, Jouni, Bukodi, Erzsébet, Goldthorpe, John H. (2021). Mediation analysis for associations of categorical variables: the role of education in social class mobility in Britain. Annals of Applied Statistics, picture_as_pdf

Kuha, Jouni, Jackson, Jonathan (2014). The item count method for sensitive survey questions: modelling criminal behaviour. Journal of the Royal Statistical Society. Series C: Applied Statistics, 63(2), 321-341. https://doi.org/10.1111/rssc.12018

Kuha, Jouni, Mills, Colin (2018). On group comparisons with logistic regression models. Sociological Methods and Research, https://doi.org/10.1177/0049124117747306

Kuha, Jouni, Sturgis, Patrick (2016). Comment on ‘what to do instead of significance testing? Calculating the “number of counterfactual cases needed to disturb a finding”’ by Stephen Gorard and Jonathan Gorard. International Journal of Social Research Methodology, 19(4), 491 - 495. https://doi.org/10.1080/13645579.2015.1126495

Kuha, Jouni, Zhang, Siliang, Steele, Fiona (2023). Latent variable models for multivariate dyadic data with zero inflation: analysis of intergenerational exchanges of family support. Annals of Applied Statistics, 17(2), 1521 - 1542. https://doi.org/10.1214/22-AOAS1680 picture_as_pdf

Kulu, Hill, Steele, Fiona (2013). Interrelationships between childbearing and housing transitions in the family life course. Demography, 50(5), 1687-1714. https://doi.org/10.1007/s13524-013-0216-2

Kurisu, Daisuke, Otsu, Taisuke (2025). Empirical likelihood for manifolds. Journal of the Royal Statistical Society. Series B: Statistical Methodology, https://doi.org/10.1093/jrsssb/qkaf043 picture_as_pdf

Kurisu, Daisuke, Otsu, Taisuke (2025). Model averaging for global Fréchet regression. Journal of Multivariate Analysis, 207, https://doi.org/10.1016/j.jmva.2025.105416 picture_as_pdf

Lahlou, Saadi (2001). Text mining methods: an answer to Chartier and Meunier. Papers on Social Representations, 20(38), 1-7.

Lam, Clifford (2020). High-dimensional covariance matrix estimation. Wiley Interdisciplinary Reviews: Computational Statistics, 12(2). https://doi.org/10.1002/wics.1485 picture_as_pdf

Lam, Clifford, Cen, Zetai (2025). Matrix-valued factor model with time-varying main effects. Journal of Econometrics, 252(A). https://doi.org/10.1016/j.jeconom.2025.106105 picture_as_pdf

Lam, Clifford, Fan, Jianqing (2008). Profile-kernel likelihood inference with diverging number of parameters. Annals of Statistics, 36(5), 2232-2260. https://doi.org/10.1214/07-AOS544

Lam, Clifford, Fan, Jianqing (2009). Sparsistency and rates of convergence in large covariance matrix estimation. Annals of Statistics, 37(6B), 4254-4278. https://doi.org/10.1214/09-AOS720

Lam, Clifford, Feng, Phoenix (2018). A nonparametric eigenvalue-regularized integrated covariance matrix estimator for asset return data. Journal of Econometrics, 206(1), 226-257. https://doi.org/10.1016/j.jeconom.2018.06.001

Lam, Clifford, Feng, Phoenix, Hu, Charlie (2017). Nonlinear shrinkage estimation of large integrated covariance matrices. Biometrika, 104(2), 481-488. https://doi.org/10.1093/biomet/asx021

Lam, Clifford, Souza, Pedro C.L. (2015). Detection and estimation of block structure in spatial weight matrix. Econometric Reviews, https://doi.org/10.1080/07474938.2015.1085775

Lam, Clifford, Yao, Qiwei (2012). Factor modeling for high-dimensional time series: inference for the number of factors. Annals of Statistics, 40(2), 694-726. https://doi.org/10.1214/12-AOS970

Lam, Clifford, Yao, Qiwei, Bathia, Neil (2011). Estimation of latent factors for high-dimensional time series. Biometrika, 98(4), 901-18. https://doi.org/10.1093/biomet/asr048

Lambert, Alex, Bouche, Dimitri, Szabo, Zoltan, d'Alché-Buc, Florence (2022). Functional output regression with infimal convolution: exploring the Huber and ε-insensitive losses. Proceedings of Machine Learning Research, 162, 11844 - 1186. picture_as_pdf

Lan Luo, By, Shi, Chengchun, Wang, Jitao, Wu, Zhenke, Li, Lexin (2025). Multivariate dynamic mediation analysis under a reinforcement learning framework. Annals of Statistics, 53(1), 400 - 425. https://doi.org/10.1214/24-aos2475 picture_as_pdf

Larsson, Martin, Ramdas, Aaditya, Ruf, Johannes (2025). The numeraire e-variable and reverse information projection. Annals of Statistics, 53(3), 1015 - 1043. https://doi.org/10.1214/24-aos2487 picture_as_pdf

Lattof, Samantha R. (2018). Collecting data from migrants in Ghana: lessons learned using respondent-driven sampling. Demographic Research, 38, 1017-1058. https://doi.org/10.4054/DemRes.2018.38.36

Lauderdale, Benjamin E. (2012). Compound poisson-gamma regression models for dollar outcomes that are sometimes zero. Political Analysis, 20(3), 387-399. https://doi.org/10.1093/pan/mps018

Lauderdale, Benjamin E., Clark, Tom S. (2014). Scaling politically meaningful dimensions using texts and votes. American Journal of Political Science, 58(3), 754 - 771. https://doi.org/10.1111/ajps.12085

Ledger, Sean, Søjmark, Andreas (2021). At the mercy of the common noise: blow-ups in a conditional McKean–Vlasov Problem. Electronic Journal of Probability, 26(none). https://doi.org/10.1214/21-EJP597 picture_as_pdf

Lee, Sze Ming, Chen, Yunxiao, Sit, Tony (2025). A latent variable approach to learning high-dimensional multivariate longitudinal data. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2025.2606384 [In Press]

Leeper, Thomas J., Hobolt, Sara, Tilley, James (2020). Measuring subgroup preferences in conjoint experiments. Political Analysis, 28(2), 207 - 221. https://doi.org/10.1017/pan.2019.30 picture_as_pdf

Lewis, David (2018). Peopling policy processes? Methodological populism in the Bangladesh health and education sectors. World Development, 108, 16 - 27. https://doi.org/10.1016/j.worlddev.2018.03.012

Li, Degui, Robinson, Peter M., Shang, Han Lin (2020). Long-range dependent curve time series. Journal of the American Statistical Association, 115(530), 957-971. https://doi.org/10.1080/01621459.2019.1604362

Li, Degui, Robinson, Peter M., Shang, Han Lin (2023). Nonstationary fractionally integrated functional time series. Bernoulli, 29(2), 1505 - 1526. https://doi.org/10.3150/22-BEJ1508

Li, Dong, Tong, Howell (2020). On an absolute autoregressive model and skew symmetric distributions. Statistica, 80(2), 177 - 198. https://doi.org/10.6092/issn.1973-2201/10420

Li, W K, Tong, Howell, Xia, Y, Zhang, D (2004). A goodness-of-fit test for single-index models. Statistica Sinica, 14(1), 1-28.

Li, W.K, Tong, Howell, Xia, Y (1999). On extended partially linear single-index models. Biometrika, 86(4), 831-842. https://doi.org/10.1093/biomet/86.4.831

Li, Dong, Tong, Howell (2016). Nested sub-sample search algorithm for estimation of threshold models. Statistica Sinica, 26(4), 1543-1554. https://doi.org/10.5705/ss.2013.394t

Li, Jie, Fearnhead, Paul, Fryzlewicz, Piotr, Wang, Tengyao (2024). Authors' reply to the discussion of 'Automatic change-point detection in time series via deep learning' at the discussion meeting on 'Probabilistic and statistical aspects of machine learning'. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 86(2), 332 - 334. https://doi.org/10.1093/jrsssb/qkae008 picture_as_pdf

Li, Jie, Fearnhead, Paul, Fryzlewicz, Piotr, Wang, Tengyao (2024). Automatic change-point detection in time series via deep learning. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 86(2), 273 - 285. https://doi.org/10.1093/jrsssb/qkae004 picture_as_pdf

Li, Jing Jing, Shi, Chengchun, Li, Lexin, Collins, Anne G.E. (2024). Dynamic noise estimation: a generalized method for modeling noise fluctuations in decision-making. Journal of Mathematical Psychology, 119, https://doi.org/10.1016/j.jmp.2024.102842 picture_as_pdf

Li, Lexin, Shi, Chengchun, Guo, Tengfei, Jagust, William J. (2022). Sequential pathway inference for multimodal neuroimaging analysis. Stat, 11(1). https://doi.org/10.1002/sta4.433 picture_as_pdf

Li, Mengbing, Shi, Chengchun, Wu, Zhenke, Fryzlewicz, Piotr (2025). Testing stationarity and change point detection in reinforcement learning. Annals of Statistics, 53(3), 1230 - 1256. https://doi.org/10.1214/25-aos2501 picture_as_pdf

Li, Mengchu, Chen, Yudong, Wang, Tengyao, Yi, Yu (2026). Robust mean change point testing in high-dimensional data with heavy tails. IEEE Transactions on Information Theory, 72(1), 571 - 609. https://doi.org/10.1109/TIT.2025.3634207 picture_as_pdf

Li, Qiaoling, Pan, Jiazhu, Yao, Qiwei (2009). On determination of cointegration ranks. Statistics and Its Interface, 2(1), 45-56.

Li, Ting, Shi, Chengchun, Lu, Zhaohua, Li, Yi, Zhu, Hongtu (2024). Evaluating dynamic conditional quantile treatment effects with applications in ridesharing. Journal of the American Statistical Association, 119(547), 1736 - 1750. https://doi.org/10.1080/01621459.2024.2314316 picture_as_pdf

Li, Ting, Shi, Chengchun, Wen, Qianglin, Sui, Yang, Qin, Yongli, Lai, Chunbo, Zhu, Hongtu (2024). Combining experimental and historical data for policy evaluation. Proceedings of Machine Learning Research, 235, 28630-28656. picture_as_pdf

Li, Weiming, Gao, Jing, Li, Kunpeng, Yao, Qiwei (2016). Modelling multivariate volatilities via latent common factors. Journal of Business and Economic Statistics, 34(4), 564-573. https://doi.org/10.1080/07350015.2015.1092975

Li, Xiaoou, Chen, Yunxiao, Chen, Xi, Liu, Jingchen, Ying, Zhiliang (2021). Optimal stopping and worker selection in crowdsourcing: an adaptive sequential probability ratio test framework. Statistica Sinica, 31(1), 519 - 546. https://doi.org/10.5705/ss.202018.0300 picture_as_pdf

Li, Yu-Ning, Li, Degui, Fryzlewicz, Piotr (2022). Detection of multiple structural breaks in large covariance matrices. Journal of Business and Economic Statistics, https://doi.org/10.1080/07350015.2022.2076686 picture_as_pdf

Lian, Heng, Qiao, Xinghao, Zhang, Wenyang (2019). Homogeneity pursuit in single index models based panel data analysis. Journal of Business and Economic Statistics, https://doi.org/10.1080/07350015.2019.1665531

Lieberman, Offer, Rosemarin, Roy, Rousseau, Judith (2012). Asymptotic theory for maximum likelihood estimation of the memory parameter in stationary Gaussian processes. Econometric Theory, 28(02), 457-470. https://doi.org/10.1017/S0266466611000399

Ligtvoet, Rudy, Ark, L. Andries, Bergsma, Wicher P., Sijtsma, Klaas (2011). Polytomous latent scales for the investigation of the ordering of items. Psychometrika, 76(2), 200-216. https://doi.org/10.1007/s11336-010-9199-8

Lillo, Fabrizio, Livieri, Giulia, Marmi, Stefano, Solomko, Anton, Vaienti, Sandro (2023). Analysis of bank leverage via dynamical systems and deep neural networks. SIAM Journal on Financial Mathematics, 14(2), 598 - 643. https://doi.org/10.1137/21M1412517 picture_as_pdf

Lillo, Fabrizio, Livieri, Giulia, Marmi, Stefano, Solomko, Anton, Vaienti, Sandro (2023). Unimodal maps perturbed by heteroscedastic noise: an application to a financial systems. Journal of Statistical Physics, 190(10). https://doi.org/10.1007/s10955-023-03160-0 picture_as_pdf

Lim, K.S (1983). A statistical approach to difference-delay equation modelling in ecology- two case studies. Journal of Time Series Analysis, 4(4), 239-267. https://doi.org/10.1111/j.1467-9892.1983.tb00372.x

Lin, Xihong, Cai, Tianxi, Donoho, David, Fu, Haoda, Ke, Tracy, Jin, Jiashun, Meng, Xiao-Li, Qu, Annie, Shi, Chengchun & Song, Peter et al (2025). Statistics and AI: a fireside conversation. Harvard Data Science Review, 7(2). https://doi.org/10.1162/99608f92.c066fe9c picture_as_pdf

Lin, Yingqian, Tu, Yundong, Yao, Qiwei (2020). Estimation for double-nonlinear cointegration. Journal of Econometrics, 216(1), 175 - 191. https://doi.org/10.1016/j.jeconom.2020.01.012 picture_as_pdf

Lindley, D.V., Phillips, L.D. (1976). Inference for a Bernoulli process (a Bayesian view). American Statistician, 30(3), 112-119.

Ling, Shiqing, Tong, Howell (2011). Score based goodness-of-fit tests for time series. Statistica Sinica, 21(4), 1807-1829. https://doi.org/10.5705/ss.2009.090

Linton, Oliver (2002). Comment on "an adaptive estimation of dimension reduction space" by Y. Xia, H. Tong, and W.K. Li. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 64(3), p. 400. https://doi.org/10.1111/1467-9868.03411

Linton, Oliver (2001). Symmetrizing and unitizing transformations for linear smoothing weights. Computational Statistics, 16(1), 153-164.

Linton, Oliver, Hafner, Christian M. (2010). Efficient estimation of a multivariate multiplicative volatility model. Journal of Econometrics, 159(1), 55-73. https://doi.org/10.1016/j.jeconom.2010.04.007

Linton, Oliver, Hardle, W, Sperlich, S (1999). Integration and backfitting methods in additive models-finite sample properties and comparison. Test, 8(2), 419-458. https://doi.org/10.1007/BF02595879

Linton, Oliver, Nielsen, Jens Perch, Nielsen, Soren Feodor (2009). Non-parametric regression with a latent time series. Econometrics Journal, 12(2), 187-207. https://doi.org/10.1111/j.1368-423X.2009.00278.x

Linton, Oliver, Rodríguez-Poo, Juan M. (2001). Nonparametric factor analysis for residual time series. Test, 10(1), 161-182.

Linton, Oliver, Sancetta, Alessio (2009). Consistent estimation of a general nonparametric regression function in time series. Journal of Econometrics, 152(1), 70-78. https://doi.org/10.1016/j.jeconom.2009.02.006

Linton, Oliver, Mammen, E., Nielsen, J. (1999). The existence and asymptotic properties of a backfitting projection algorithm under weak conditions. Annals of Statistics, 27(5), 1443-1490. https://doi.org/10.1214/aos/1017939138

Linton, Oliver, Whang, Yoon-Jae (2002). Nonparametric estimation with aggregated data. Econometric Theory, 18(2), 420-468. https://doi.org/10.1017.S0266466602182089

Linton, Oliver, Xiao, Zhijie (2001). Second-order approximation for adaptive regression estimators. Econometric Theory, 17(5), 984-1024. https://doi.org/10.1017/S0266466601175067

Liu, W., Bretz, F., Hayter, A. J., Wynn, Henry (2009). Assessing nonsuperiority, noninferiority, or equivalence when comparing two regression models over a restricted covariate region. Biometrics, 65(4), 1279-1287. https://doi.org/10.1111/j.1541-0420.2008.01192.x

Liu, Dungang, Li, Shaobo, Yu, Yan, Moustaki, Irini (2020). Assessing partial association between ordinal variables: quantification, visualization, and hypothesis testing. Journal of the American Statistical Association, 0(0), 1 - 14. https://doi.org/10.1080/01621459.2020.1796394 picture_as_pdf

Liu, Xinyi Lin, Wallin, Gabriel, Chen, Yunxiao, Moustaki, Irini (2023). Rotation to sparse loadings using Lp losses and related inference problems. Psychometrika, 88(2), 527 - 553. https://doi.org/10.1007/s11336-023-09911-y picture_as_pdf

Liu, Yirui, Qiao, Xinghao, Pei, Yulong, Wang, Liying (2024). Deep functional factor models: forecasting high-dimensional functional time series via Bayesian nonparametric factorization. Proceedings of Machine Learning Research, 235, 31709-31727. picture_as_pdf

Liu, Yirui, Qiao, Xinghao, Wang, Liying, Lam, Jessica (2023). EEGNN: edge enhanced graph neural network with a Bayesian nonparametric graph model. Proceedings of Machine Learning Research, 206, 2132-2146. picture_as_pdf

Loftus, Joshua R. (2024). Position: the causal revolution needs scientific pragmatism. Proceedings of Machine Learning Research, 235, 32671-32679. picture_as_pdf

Lu, Zexian, Chen, Yunxiao, Li, Xiaoou (2022). Optimal parallel sequential change detection under generalized performance measures. IEEE Transactions on Signal Processing, 70, 5967 - 5981. https://doi.org/10.1109/TSP.2022.3231521 picture_as_pdf

Lu, Zudi, Lundervold, Arvid, Tjøstheim, Dag, Yao, Qiwei (2007). Exploring spatial nonlinearity using additive approximation. Bernoulli, 13(2), 447-472. https://doi.org/10.3150/07-BEJ5093

Lu, Zudi, Tjostheim, Dag, Yao, Qiwei (2008). Spatial smoothing, Nugget effect and infill asymptotics. Statistics and Probability Letters, 78(18), 3145-3151. https://doi.org/10.1016/j.spl.2008.06.002

Lu, Zudi, Tjøstheim, Dag, Yao, Qiwei (2007). Adaptive varying-coefficient linear models for stochastic processes: asymptotic theory. Statistica Sinica, 17(1), 177-198.

Luczak, Malwina J, McDiarmid, Colin (2006). On the maximum queue length in the supermarket model. Annals of Probability, 34(2), 493-527. https://doi.org/10.1214/00911790500000710

Luczak, Malwina J., Winkler, Peter (2004). Building uniformly random subtrees. Random Structures and Algorithms, 24(4), 420-443. https://doi.org/10.1002/rsa.20011

Luo, Shikai, Yang, Ying, Shi, Chengchun, Yao, Fang, Ye, Jieping, Zhu, Hongtu (2024). Policy evaluation for temporal and/or spatial dependent experiments. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 86(3), 623 - 649. https://doi.org/10.1093/jrsssb/qkad136 picture_as_pdf

Luo, Yu, Graham, Daniel J., McCoy, Emma J. (2023). Semiparametric Bayesian doubly robust causal estimation. Journal of Statistical Planning and Inference, 225, 171 - 187. https://doi.org/10.1016/j.jspi.2022.12.005 picture_as_pdf

Lupparelli, Monia, Marchetti, Giovanni M., Bergsma, Wicher (2009). Parameterizations and fitting of bi-directed graph models to categorical data. Scandinavian Journal of Statistics, 36(3), 559-576. https://doi.org/10.1111/j.1467-9469.2008.00638.x

Lynn, Peter, Jäckle, Annette, Jenkins, Stephen P., Sala, Emanuela (2012). The impact of questioning method on measurement error in panel survey measures of benefit receipt: evidence from a validation study. Journal of the Royal Statistical Society. Series A: Statistics in Society, 175(1), 289-309. https://doi.org/10.1111/j.1467-985X.2011.00717.x

Lyrvall, Johan, Di Mari, Roberto, Bakk, Zsuzsa, Oser, Jennifer, Kuha, Jouni (2025). Multilevel latent class analysis: state-of-the-art methodologies and their implementation in the R package multilevLCA. Multivariate Behavioral Research, https://doi.org/10.1080/00273171.2025.2473935

Lyrvall, Johan, Di Mari, Roberto, Bakk, Zsuzsa, Oser, Jennifer, Kuha, Jouni (2025). Multilevel latent class analysis: state-of-the-art methodologies and their implementation in the R package multilevLCA. Multivariate Behavioral Research, 60(4), 731 - 747. https://doi.org/10.1080/00273171.2025.2473935 picture_as_pdf

Ma, Debin, Yuan, Weipeng (2016). Discovering economic history in footnotes: the story of the Tong Taisheng merchant archive (1790-1850). Modern China, 42(5), 483-504. https://doi.org/10.1177/0097700415606872

Ma, Tao, Zhu, Jin, Cai, Hengrui, Qi, Zhengling, Chen, Yunxiao, Shi, Chengchun, Laber, Eric B. (2026). Sequential knockoffs for variable selection in reinforcement learning. Journal of the American Statistical Association, [In Press] picture_as_pdf

Macdonald, Stuart, Martinez, Luis (2005). Supporting local data users in the UK academic community. Ariadne, 44(July 2).

Maeng, Hye Young, Fryzlewicz, Piotr (2019). Regularised forecasting via smooth-rough partitioning of the regression coefficients. Electronic Journal of Statistics, 13(1), 2093-2120. https://doi.org/10.1214/19-EJS1573 picture_as_pdf

Maeng, Hyeyoung, Fryzlewicz, Piotr (2023). Detecting linear trend changes in data sequences. Statistical Papers, 16, https://doi.org/10.1007/s00362-023-01458-5 picture_as_pdf

Maia, Mateus, Pimentel, Jonatha S., Pereira, Ivalbert S., Gondim, João, Barreto, Marcos E., Ara, Anderson (2020). Convolutional support vector models: prediction of coronavirus disease using chest X-rays. Information, 11(12). https://doi.org/10.3390/info11120548 picture_as_pdf

Makariou, Despoina, Barrieu, Pauline, Chen, Yining (2021). A random forest based approach for predicting spreads in the primary catastrophe bond market. Insurance: Mathematics and Economics, 101, 140 - 162. https://doi.org/10.1016/j.insmatheco.2021.07.003 picture_as_pdf

Makariou, Despoina, Barrieu, Pauline, Tzougas, George (2021). A finite mixture modelling perspective for combining experts’ opinions with an application to quantile-based risk measures. Risks, 9(6). https://doi.org/10.3390/risks9060115 picture_as_pdf

Malesios, C, Demiris, N, Kalogeropoulos, K, Ntzoufras, I (2017). Bayesian epidemic models for spatially aggregated count data. Statistics in Medicine, 36(20), 3216-3230. https://doi.org/10.1002/sim.7364

Marbach, Moritz, Vallizadeh, Ehsan, Harder, Niklas, Hangartner, Dominik, Hainmueller, Jens (2025). Does ad hoc language training improve the economic integration of refugees? Evidence from Germany's response to the Syrian refugee crisis. Journal of the Royal Statistical Society. Series A: Statistics in Society, 188(4), 1168 - 1183. https://doi.org/10.1093/jrsssa/qnae106 picture_as_pdf

Marcaccioli, Riccardo, Livan, Giacomo (2020). Maximum entropy approach to multivariate time series randomization. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-67536-y picture_as_pdf

Marinucci, D., Robinson, Peter M. (2001). Narrow-band analysis of nonstationary processes. Annals of Statistics, 29(4), 947-986. https://doi.org/10.1214/aos/1013699988

Marsh, Catherine, Dale, A., Skinner, Chris J. (1994). Safe data versus safe setting: access to microdata from the British Census. International Statistical Review, 62(1), 35-53.

Maruri-Aguilar, Hugo, Saenz-de-Cabezon, Eduardo, Wynn, Henry P. (2012). Betti numbers of polynomial hierarchical models for experimental designs. Annals of Mathematics and Artificial Intelligence, 64(4), 411-426. https://doi.org/10.1007/s10472-012-9295-9

Maruri-Aguilar, Hugo, Wynn, Henry (2023). Sparse polynomial prediction. Statistical Papers, 64(4), 1233 - 1249. https://doi.org/10.1007/s00362-023-01439-8 picture_as_pdf

Matei, Alina, Skinner, Chris J. (2009). Optimal sample coordination using controlled selection. Journal of Statistical Planning and Inference, 139(9), 3112-3121. https://doi.org/10.1016/j.jspi.2009.02.012

Matsushita, Yukitoshi, Otsu, Taisuke (2023). Empirical likelihood for network data. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2023.2250091 picture_as_pdf

Matsushita, Yukitoshi, Otsu, Taisuke (2020). Jackknife empirical likelihood: small bandwidth, sparse network and high-dimension asymptotic. Biometrika, https://doi.org/10.1093/biomet/asaa081 picture_as_pdf

Matsushita, Yukitoshi, Otsu, Taisuke, Takahata, Keisuke (2023). Estimating density ratio of marginals to joint: applications to causal inference. Journal of Business and Economic Statistics, 41(2), 467 - 481. https://doi.org/10.1080/07350015.2022.2035228 picture_as_pdf

Mavridis, Dimitris, Moustaki, Irini, Wall, Melanie, Salanti, Georgia (2017). Detecting outlying studies in meta-regression models using a forward search algorithm. Research Synthesis Methods, 8(2), 199-211. https://doi.org/10.1002/jrsm.1197

Mavridis, Dimitris, Nikolakopoulou, Adriani, Moustaki, Irini, Chaimani, Anna, Porcher, Raphaël, Boutron, Isabelle, Ravaud, Philippe (2023). Considering multiple outcomes with different weights informed the hierarchy of interventions in network meta-analysis. Journal of Clinical Epidemiology, 154, 188-196. https://doi.org/10.1016/j.jclinepi.2022.12.025 picture_as_pdf

McSharry, Patrick E., Smith, Leonard A., Tarassenko, Lionel (2003). Prediction of epileptic seizures: are nonlinear methods relevant? Nature Medicine, 9(3), 241-242. https://doi.org/10.1038/nm0303-241

Menkveld, Albert J., Dreber, Anna, Holzmeister, Felix, Huber, Juergen, Johannesson, Magnus, Kirchler, Michael, Neusüß, Sebastian, Razen, Michael, Weitzel, Utz & Abad-Díaz, David et al (2024). Nonstandard errors. Journal of Finance, 79(3), 2339 - 2390. https://doi.org/10.1111/jofi.13337 picture_as_pdf

Michel, Jesse S., Viswesvaran, Chockalingam, Thomas, Jeffrey (2011). Conclusions from meta-analytic structural equation models generally do not change due to corrections for study artifacts. Research Synthesis Methods, 2(3), 174 - 187. https://doi.org/10.1002/jrsm.47

Micklewright, John, Schnepf, Sylke, Skinner, Chris J. (2012). Non-response biases in surveys of schoolchildren: the case of the English Programme for International Student Assessment (PISA) samples. Journal of the Royal Statistical Society. Series A: Statistics in Society, 175(4), 915-338. https://doi.org/10.1111/j.1467-985X.2012.01036.x

Mignemi, Giuseppe, Chen, Yunxiao, Moustaki, Irini (2025). Unfolding the network of peer grades: a latent variable approach. Psychometrika, 90(3), 1153 - 1174. https://doi.org/10.1017/psy.2025.10021 picture_as_pdf

Miller, Helen, Pope, Thomas, Smith, Kate (2024). Intertemporal income shifting and the taxation of business owner-managers. Review of Economics and Statistics, 106(1), 184-201. https://doi.org/10.1162/rest_a_01166 picture_as_pdf

Millner, Antony, Calel, Raphael (2012). Are first-borns more likely to attend Harvard? Significance, 9(3), 37-39. https://doi.org/10.1111/j.1740-9713.2012.00576.x

Millner, Antony, Calel, Raphael, Stainforth, David A., MacKerron, George (2012). Do probabilistic expert elicitations capture scientists' uncertainty about climate change? Climatic Change, 116(2), 427-436. https://doi.org/10.1007/s10584-012-0620-4

Mitrodima, Gelly, Oberoi, Jaideep (2024). CAViaR models for Value-at-Risk and Expected Shortfall with long range dependency features. Journal of the Royal Statistical Society. Series C: Applied Statistics, 73(1), 1 - 27. https://doi.org/10.1093/jrsssc/qlad081 picture_as_pdf

Moeanaddin, R, Tong, Howell (1990). Numerical evaluation of distributions in non-linear autoregression. Journal of Time Series Analysis, 11(1), 33-48. https://doi.org/10.1111/j.1467-9892.1990.tb00040.x

Moenaddin, R, Tong, Howell (1988). On multi-step non-linear least-squares predication. Journal of the Royal Statistical Society. Series D: The Statistician, 37(2), 101-110.

Moenaddin, R, Tong, Howell (1988). A comparison of likelihood ratio test and CUSUM test for threshold autoregression. Journal of the Royal Statistical Society. Series D: The Statistician, 37(4/5), 493-494.

Mohammadi, Fatemeh, Saenz-de-Cabezon, Eduardo, Wynn, Henry P. (2018). Efficient multicut enumeration of k -out-of- n:F and consecutive k -out-of- n:F systems. Pattern Recognition Letters, 102, 82-88. https://doi.org/10.1016/j.patrec.2017.12.021

Mohammadi, Fatemeh, Saenz-de-Cabezon, Eduardo, Wynn, Henry P. (2016). Types of signature analysis in reliability based on Hilbert series. Journal of Symbolic Computation, 79(1), 140-155. https://doi.org/10.1016/j.jsc.2016.08.010

Morton, Alec, Phillips, Lawrence D. (2009). Fifty years of probabilistic decision analysis: a view from the UK. Journal of the Operational Research Society, 60, S33-S40. https://doi.org/10.1057/jors.2008.175

Moser, C. A., Layard, Richard, Irwin, J. O. (1964). Planning the scale of higher education in Great Britain: some statistical problems. Journal of the Royal Statistical Society. Series A: Statistics in Society, 127(4), 473-526.

Motakis, E. S., Nason, Guy P., Fryzlewicz, Piotr, Rutter, G. A (2006). Variance stabilization and normalization for one-color microarray data using a data-driven multiscale approach. Bioinformatics, 22(20), 2547-2553. https://doi.org/10.1093/bioinformatics/btl412

Moustaki, Irini (2002). Discussion of the paper by Fayers and Hand [Fayers, P. M. and Hand, D. J., Causal variables, indicator variables and measurement scales: an example from quality of life, Journal of the Royal Statistical Society, Series A, 2002:165(2), 233-261]. Journal of the Royal Statistical Society. Series A: Statistics in Society, 165(2), 258-259.

Moustaki, Irini (1996). A latent trait and a latent class model for mixed observed variables. British Journal of Mathematical and Statistical Psychology, 49(2), 313-334. https://doi.org/10.1111/j.2044-8317.1996.tb01091.x

Moustaki, Irini (2000). A latent variable model for ordinal variables. Applied Psychological Measurement, 24(3), 211-223. https://doi.org/10.1177/01466210022031679

Moustaki, Irini, Knott, Martin (2000). Generalised latent trait models. Psychometrika, 65(3), 391-411. https://doi.org/10.1007/BF02296153

Moustaki, Irini, Knott, Martin (2000). Weighting for item non-response in attitude scales by using latent variable models with covariates. Journal of the Royal Statistical Society. Series A: Statistics in Society, 163(3), 445-459. https://doi.org/10.1111/1467-985X.00177

Moustaki, Irini, O'Muircheartaigh, C. (2000). A one dimension latent trait model to infer attitude from nonresponse for nominal data. Statistica, 60(2), 259-276.

Moustaki, Irini, Papageorgiou, Ioulia (2004). Latent class models for mixed outcomes with applications in archaeometry. Computational Statistics and Data Analysis, 48(3), 659-675. https://doi.org/10.1016/j.csda.2004.03.001

Moustaki, Irini, Steele, Fiona (2005). Latent variable models for mixed categorical and survival responses with an application to fertility preferences and family planning in Bangladesh. Statistical Modelling, 5(4), 327-342. https://doi.org/10.1191/1471082X05st100oa

Murphy, Michael J., Grundy, Emily (2003). Mothers with living children and children with living mothers: the role of fertility and mortality in the period 1911-2050. Population Trends, 112(1), 36-44.

Nafstad, P., Brunekreef, B., Skrondal, Anders, Nystad, W. (2005). Early respiratory infections, asthma, and allergy: 10-year follow-up of the Oslo Birth Cohort. Pediatrics, 116(2), 255-262. https://doi.org/10.1542/peds.2004-2785

Nascimento, Silva, Skinner, Chris J. (1997). Variable selection for regression estimation in finite populations. Survey Methodology, 23(1), 23-32.

Nasir, Nida, Kansal, Afreen, Alshaltone, Omar, Barneih, Feras, Shanableh, Abdallah, Al-Shabi, Mohammad, Al Shammaa, Ahmed (2023). Deep learning detection of types of water-bodies using optical variables and ensembling. Intelligent Systems with Applications, 18, https://doi.org/10.1016/j.iswa.2023.200222 picture_as_pdf

Neumayer, Eric, Plümper, Thomas (2012). Conditional spatial policy dependence: theory and model specification. Comparative Political Studies, 45(7), 819-849. https://doi.org/10.1177/0010414011429066

Neumayer, Eric, Plümper, Thomas (2016). W. Political Science Research and Methods, 1-19. https://doi.org/10.1017/psrm.2014.40

Ng, K.W., Tong, Howell (2011). Inversion of Bayes formula and measures of Bayesian information gain and pairwise dependence. Statistics and Its Interface, 4(1), 95-103.

Ni Bhrolchain, Maire, Beaujouan, Éva, Murphy, Michael J. (2011). Sources of error in reported childlessness in a continuous British household survey. Population Studies, 65(3), 305-318. https://doi.org/10.1080/00324728.2011.607901

Nielsen, Jens P., Linton, Oliver, Bickel, Peter J. (1998). On a semiparametric survival model with flexible covariate effect. Annals of Statistics, 26(1), 215-241. https://doi.org/10.1214/aos/1030563983

Otsu, Taisuke, Takahata, Keisuke, Xu, Mengshan (2023). Empirical likelihood inference for monotone index model. Japanese Journal of Statistics and Data Science, 6(1), 103-114. https://doi.org/10.1007/s42081-023-00195-1 picture_as_pdf

Ouannas, Adel, Batiha, Iqbal M., Bekiros, Stelios, Liu, Jinping, Jahanshahi, Hadi, Aly, Ayman A., Alghtani, Abdulaziz H. (2021). Synchronization of the glycolysis reaction-diffusion model via linear control law. Entropy, 23(11). https://doi.org/10.3390/e23111516 picture_as_pdf

Pach, János, Swanepoel, Konrad J. (2015). Double-normal pairs in the plane and on the sphere. Beiträge zur Algebra und Geometrie / Contributions to Algebra and Geometry, 56(2), 423-438. https://doi.org/10.1007/s13366-014-0211-9

Palacios-Huerta, Ignacio (2004). Structural changes during a century of the world’s most popular sport. Statistical Methods and Applications, 13(2), 241-258. https://doi.org/10.1007/s10260-004-0093-3

Palacios-Huerta, Ignacio, Volij, Oscar (2004). The measurement of intellectual influence. Econometrica, 72(3), 963-977. https://doi.org/10.1111/j.1468-0262.2004.00519.x

Pan, Jiazhu, Wang, Hui, Yao, Qiwei (2007). Weighted least absolute deviations estimation for ARMA models with infinite variance. Econometric Theory, 23(5), 852-879. https://doi.org/10.1017/S0266466607070363

Pan, Jiazhu, Yao, Qiwei (2008). Modelling multiple time series via common factors. Biometrika, 95(2), 365-379. https://doi.org/10.1093/biomet/asn009

Papadaki, Katerina, Friderikos, Vasilis (2012). Multi-rate control policies for elastic traffic in CDMA networks. Performance Evaluation, 69(10), 510-523. https://doi.org/10.1016/j.peva.2012.06.001

Papadimitriou, Dimitris, Tokis, Konstantinos, Vichos, Georgios, Mourdoukoutas, Panos (2023). Managing other people's money: an agency theory in financial management industry. Journal of Financial Research, https://doi.org/10.1111/jfir.12344 picture_as_pdf

Papageorgiou, Ioulia, Moustaki, Irini (2019). Sampling of pairs in pairwise likelihood estimation for latent variable models with categorical observed variables. Statistics and Computing, 29(2), 351-365. https://doi.org/10.1007/s11222-018-9812-8

Parey, Matthias, Ruhose, Jens, Waldinger, Fabian, Netz, Nicolai (2017). The selection of high-skilled emigrants. Review of Economics and Statistics, 99(5), 776-792. https://doi.org/10.1162/REST_a_00687 picture_as_pdf

Park, Jung Yeon, Wall, Melanie M, Moustaki, Irini, Grossman, Arnold (2022). A joint modeling approach for longitudinal outcomes and non-ignorable dropout under population heterogeneity in mental health studies. Journal of Applied Statistics, 49(13), 3361-3376. https://doi.org/10.1080/02664763.2021.1945000 picture_as_pdf

Parker, Melissa, Allen, Tim (2011). Does mass drug administration for the integrated treatment of neglected tropical diseases really work?: assessing evidence for the control of schistosomiasis and soil-transmitted helminths in Uganda. Health Research Policy and Systems, 9(3), 1-20. https://doi.org/10.1186/1478-4505-9-3

Pascual-Ortigosa, Patricia, Saénz-De-Cabezón, Eduardo, Wynn, Henry P. (2021). Algebraic reliability of multi-state k-out-of-n systems. Probability in the Engineering and Informational Sciences, 35(4), 903 - 927. https://doi.org/10.1017/S0269964820000224

Paz, Hellen, Maia, Mateus, Moraes, Fernando, Lustosa, Ricardo, Costa, Lilia, Macêdo, Samuel, Barreto, Marcos E., Ara, Anderson (2020). Local processing of massive databases with R: a national analysis of a Brazilian social programme. Stats, 3(4), 444 - 464. https://doi.org/10.3390/stats3040028 picture_as_pdf

Pemberton, J, Tong, Howell (1983). Threshold autoregression and some frequency-domain characteristics. Handbook of Statistics, 3, 249-273.

Pemberton, J, Tong, Howell (1981). A note on the distribution of non-linear autoregressive stochastic processes. Journal of Time Series Analysis, 2(1), 49-52. https://doi.org/10.1111/j.1467-9892.1981.tb00310.x

Peng, Liang, Yao, Qiwei (2017). Estimating conditional means with heavy tails. Statistics and Probability Letters, 127, 14-22. https://doi.org/10.1016/j.spl.2017.03.023

Peng, Liang, Yao, Qiwei (2003). Least absolute deviations estimation for ARCH and GARCH models. Biometrika, 90(4), 967-975. https://doi.org/10.1093/biomet/90.4.967

Peng, Liang, Yao, Qiwei (2004). Nonparametric regression under dependent errors with infinite variance. Annals of the Institute of Statistical Mathematics, 56(1), 73-86. https://doi.org/10.1007/BF02530525

Penzer, Jeremy (2006). Diagnosing seasonal shifts in time series using state space models. Statistical Methodology, 3(3), 193-210. https://doi.org/10.1016/j.stamet.2005.09.012

Pesce, Elena, Rapallo, Fabio, Riccomagno, Eva, Wynn, Henry P. (2022). Generation of all randomizations using circuits. Annals of the Institute of Statistical Mathematics, https://doi.org/10.1007/s10463-022-00860-4 picture_as_pdf

Petropoulou, Maria, Salanti, Georgia, Rücker, Gerta, Schwarzer, Guido, Moustaki, Irini, Mavridis, Dimitris (2021). A forward search algorithm for detecting extreme study effects in network meta-analysis. Statistics in Medicine, 40(25), 5642 - 5656. https://doi.org/10.1002/sim.9145 picture_as_pdf

Petrushkin, H., Barsam, A., Mavrakakis, Miltiadis C., Parfitt, A., Jaye, P. (2011). Optic disc assessment in the emergency department: a comparative study between the PanOptic and direct ophthalmoscopes. Emergency Medicine Journal, Online, https://doi.org/10.1136/emermed-2011-200038

Pfeffermann, Danny, Skinner, Chris J., Holmes, D. J., Goldstein, H., Rasbash, J. (1998). Weighting for unequal selection probabilities in multilevel models. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 60(1), 23-40. https://doi.org/10.1111/1467-9868.00106

Pfeffermann, Danny, Skinner, Chris J., Humphreys, Keith (1998). The estimation of gross flows in the presence of measurement error using auxiliary variables. Journal of the Royal Statistical Society. Series A: Statistics in Society, 161(1), 13-32. https://doi.org/10.1111/1467-985X.00088

Phillips, Lawrence D. (1974). Book review: empirical Bayes methods by J.S. Maritz. Journal of the Royal Statistical Society. Series D: The Statistician, 23(2), 141-142.

Phillips, Lawrence D. (1984). A theory of requisite decision models. Acta Psychologica, 56(1-3), 29-48. https://doi.org/10.1016/0001-6918(84)90005-2

Phillips, Lawrence D. (1970). The ‘true probability’ problem. Acta Psychologica, 34, 254-264. https://doi.org/10.1016/0001-6918(70)90021-1

Phillips, Lawrence D., Edwards, Ward (1966). Conservatism in a simple probability inference task. Journal of Experimental Psychology, 72(3), 346-354.

Phillips, Lawrence D., Wisniewski, Thomas K. (1983). Bayesian models for computer-aided underwriting. Journal of the Royal Statistical Society. Series D: The Statistician, 32(1/2), 252-263.

Pillinger, Rebecca, Steele, Fiona, Leckie, George, Jenkins, Jennifer (2024). A dynamic social relations model for clustered longitudinal dyadic data with continuous or ordinal responses. Journal of the Royal Statistical Society. Series A: Statistics in Society, 187(2), 338 - 357. https://doi.org/10.1093/jrsssa/qnad115 picture_as_pdf

Pirrone, Angelo, Gobet, Fernand (2021). Is attentional discounting in value-based decision making magnitude sensitive? Journal of Cognitive Psychology, 33(3), 327 - 336. https://doi.org/10.1080/20445911.2021.1890091 picture_as_pdf

Pischke, Jorn-Steffen, Wachter, Till von (2008). Zero returns to compulsory schooling in Germany: evidence and interpretation. Review of Economics and Statistics, 90(3), 592 - 598. https://doi.org/10.1162/rest.90.3.592

Pistone, Giovanni, Riccomagno, Eva, Wynn, Henry (2001). Computational commutative algebra in discrete statistics. Contemporary Mathematics, 287(Specia), 267-282.

Polonik, Wolfgang, Yao, Qiwei (2000). Conditional minimum volume predictive regions for stochastic processes. Journal of the American Statistical Association, 95(450), 509-519. https://doi.org/10.2307/2669395

Polonik, Wolfgang, Yao, Qiwei (2008). Testing for multivariate volatility functions using minimum volume sets and inverse regression. Journal of Econometrics, 147(1), 151-162. https://doi.org/10.1016/j.jeconom.2008.09.003

Priest, Oliver, Phillips, Lawrence D., Hanna, George B. (2014). Risks of using bedside tests to verify nasogastric tube position in adult patients. European Medical Journal Gastroenterology, 3, 49-56.

Priestley, Mark, Subba Rao, T, Tong, Howell (1974). Applications of principal component analysis and factor analysis in stochastic control systems. IEEE Transactions on Automatic Control, AC-19, 730-734.

Priestley, Mark, Tong, Howell (1973). On the analysis of bivariate non-stationary processes: with discussion. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 35, 153-166.

Procacci, Pier Francesco, Aste, Tomaso (2022). Portfolio optimization with sparse multivariate modeling. Journal of Asset Management, 23(6), 445 - 465. https://doi.org/10.1057/s41260-022-00280-2

Qiao, Xinghao, James, Gareth M., Sun, Wenguang (2012). Comment. Technometrics, 54(2), 123-126. https://doi.org/10.1080/00401706.2011.649819

Qiao, Jiawei, Chen, Yunxiao, Ying, Zhiliang (2025). Exact exploratory bi-factor analysis: a constraint-based optimization approach. Psychometrika, 90(3), 998 - 1013. https://doi.org/10.1017/psy.2025.17 picture_as_pdf

Qiao, Jiawei, Chen, Yunxiao, Ying, Zhiliang (2026). Exploratory hierarchical factor analysis with an application to psychological measurement. Statistica Sinica, [In Press] picture_as_pdf

Qiao, Xinghao, Liu, Yirui, Lam, Jessica (2022). CATVI: conditional and adaptively truncated variational inference for hierarchical Bayesian nonparametric models. Proceedings of Machine Learning Research, 151, picture_as_pdf

Qiao, Xinghao, Qian, Cheng, James, Gareth M., Guo, Shaojun (2020). Doubly functional graphical models in high dimensions. Biometrika, 107(2), 415 - 431. https://doi.org/10.1093/biomet/asz072 picture_as_pdf

Qiu, Chen, Otsu, Taisuke (2022). Information theoretic approach to high dimensional multiplicative models: stochastic discount factor and treatment effect. Quantitative Economics, 13(1), 63 - 94. https://doi.org/10.3982/QE1603 picture_as_pdf

Qu, Yan, Dassios, Angelos, Zhao, Hongbiao (2021). Random variate generation for exponential and gamma tilted stable distributions. ACM Transactions on Modeling and Computer Simulation, 31(4). https://doi.org/10.1145/3449357 picture_as_pdf

Qu, Yan, Dassios, Angelos, Zhao, Hongbiao (2023). Shot-noise cojumps: exact simulation and option pricing. Journal of the Operational Research Society, 74(3), 647 - 665. https://doi.org/10.1080/01605682.2022.2077660 picture_as_pdf

Rabe-Hesketh, S., Skrondal, Anders (2001). Parameterization of multivariate random effects models for categorical data. Biometrics, 57(4), 1256-1264. https://doi.org/10.1111/j.0006-341X.2001.1256_1.x

Rabe-Hesketh, Sophia, Pickles, Andrew, Skrondal, Anders (2003). Correcting for covariate measurement error in logistic regression using nonparametric maximum likelihood estimation. Statistical Modelling, 3(3), 215-232. https://doi.org/10.1191/1471082X03st056oa

Rabe-Hesketh, Sophia, Skrondal, Anders (2007). Multilevel and latent variable modeling with composite links and exploded likelihoods. Psychometrika, 72(2), 123-140. https://doi.org/10.1007/s11336-006-1453-8

Rabe-Hesketh, Sophia, Skrondal, Anders (2006). Multilevel modelling of complex survey data. Journal of the Royal Statistical Society. Series A: Statistics in Society, 169(32), 805-827. https://doi.org/10.1111/j.1467-985X.2006.00426.x

Rabe-Hesketh, Sophia, Skrondal, Anders, Pickles, Andrew (2003). Maximum likelihood estimation of generalized linear models with covariate measurement error. Stata Journal, 3(4), 386-411.

Ramezani, Majid, Bashiri, Mahdi, Atkinson, Anthony C. (2011). A goal programming-TOPSIS approach to multiple response optimization using the concepts of non-dominated solutions and prediction intervals. Expert Systems With Applications, 38(8), 9557-9563. https://doi.org/10.1016/j.eswa.2011.01.139

Randall, Sara, Coast, Ernestina (2016). The quality of demographic data on older Africans. Demographic Research, 34, 143-174. https://doi.org/10.4054/DemRes.2016.34.5

Rao, J. N. K., Scott, A. J., Skinner, Chris J. (1998). Quasi-score tests with survey data. Statistica Sinica, 8(4), 1059-1070.

Rasmussen, Aksel Kaastrup, Seizilles, Fanny, Girolami, Mark, Kazlauskaite, Ieva (2024). The Bayesian approach to inverse Robin problems. SIAM/ASA Journal on Uncertainty Quantification, 12(3), 1050 - 1084. https://doi.org/10.1137/23M1620624 picture_as_pdf

Ravipati, Kaushik, Chen, Yunxiao, Manns, Joseph R. (2022). Reassessing diabetes and APOE genotype as potential interacting risk factors for Alzheimer’s disease. American Journal of Alzheimer's Disease and other Dementias, 37, 1 - 10. https://doi.org/10.1177/15333175211070912 picture_as_pdf

Ready, Elspeth, Power, Eleanor (2021). Measuring reciprocity: double sampling, concordance, and network construction. Network Science, 9(4), 387 - 402. https://doi.org/10.1017/nws.2021.18 picture_as_pdf

Reyniers, Diane J. (1996). Coordinated search for an object hidden on the line. European Journal of Operational Research, 95(3), 663-670. https://doi.org/10.1016/S0377-2217(96)00314-1

Rheinlander, Thorsten, Steiger, Gallus (2010). Utility indifference hedging with exponential additive processes. Asia-Pacific Financial Markets, 17(2), p. 151. https://doi.org/10.1007/s10690-009-9106-4

Riani, Marco, Atkinson, Anthony C. (2000). Robust diagnostic data analysis: transformations in regression. Technometrics, 42(4), 384-394.

Riani, Marco, Atkinson, Anthony C. (2010). Robust model selection with flexible trimming. Computational Statistics and Data Analysis, 54(12, Sp), 3300-3312. https://doi.org/10.1016/j.csda.2010.03.007

Riani, Marco, Atkinson, Anthony C. (2001). A unified approach to outliers, influence and transformations in discriminant analysis. Journal of Computational and Graphical Statistics, 10(3), 513-544. https://doi.org/10.1198/106186001317114965

Riani, Marco, Atkinson, Anthony C., Cerioli, Andrea (2009). Finding an unknown number of multivariate outliers. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 71(2), 447-466. https://doi.org/10.1111/j.1467-9868.2008.00692.x

Riani, Marco, Atkinson, Anthony C., Corbellini, Aldo (2023). Automatic robust Box-Cox and extended Yeo-Johnson transformations in regression. Statistical Methods and Applications, 32(1), 75 - 102. https://doi.org/10.1007/s10260-022-00640-7 picture_as_pdf

Riani, Marco, Atkinson, Anthony C., Corbellini, Aldo (2024). Robust transformations for multiple regression via additivity and variance stabilization. Journal of Computational and Graphical Statistics, 33(1), 85 - 100. https://doi.org/10.1080/10618600.2023.2205447 picture_as_pdf

Riani, Marco, Atkinson, Anthony C., Corbellini, Aldo, Farcomeni, Alessio, Laurini, Fabrizio (2022). Information criteria for outlier detection avoiding arbitrary significance levels. Econometrics and Statistics, https://doi.org/10.1016/j.ecosta.2022.02.002 picture_as_pdf

Riani, Marco, Atkinson, Anthony C., Corbellini, Aldo, Morelli, Gianluca (2025). Robust tobit regression for censored observations using extended Box-Cox Transformations. Statistical Methods and Applications, 34(3), 385 - 408. https://doi.org/10.1007/s10260-025-00798-w picture_as_pdf

Riani, Marco, Atkinson, Anthony C., Corbellini, Aldo, Perrotta, Domenico (2020). Robust regression with density power divergence: theory, comparisons, and data analysis. Entropy, 22(4). https://doi.org/10.3390/e22040399 picture_as_pdf

Riani, Marco, Atkinson, Anthony C., Morelli, Gianluca, Corbellini, Aldo (2025). The use of modern robust regression analysis with graphics: an example from marketing. Stats, 8(1). https://doi.org/10.3390/stats8010006 picture_as_pdf

Riani, Marco, Atkinson, Anthony C., Torti, Francesca, Corbellini, Aldo (2022). Robust correspondence analysis. Journal of the Royal Statistical Society. Series C: Applied Statistics, 71(5), 1381-1401. https://doi.org/10.1111/rssc.12580 picture_as_pdf

Riani, Marco, Corbellini, Aldo, Atkinson, Anthony C. (2018). The use of prior information in very robust regression for fraud detection. International Statistical Review, 86(2), 205-218. https://doi.org/10.1111/insr.12247

Robertson, Scott, Xing, Hao (2017). Long term optimal investment in matrix valued factor models. SIAM Journal on Financial Mathematics, 8(1), 400-434. https://doi.org/10.1137/15M1030625

Robinson, Peter (2005). Efficiency improvements in inference on stationary and nonstationary fractional time series. Annals of Statistics, 33(4), 1800-1842. https://doi.org/10.1214/009053605000000354

Robinson, Peter (1977). Estimating variances and covariances of sample autocorrelations and autocovariances. Australian Journal of Statistics, 19(3), 236-240. https://doi.org/10.1111/j.1467-842X.1977.tb01091.x

Robinson, Peter (1973). Generalized canonical analysis for time series. Journal of Multivariate Analysis, 3, 141-160.

Robinson, Peter (1984). Kernel estimation and interpolation for time series containing missing observations. Annals of the Institute of Statistical Mathematics, 36(1), 403-417. https://doi.org/10.1007/BF02481979

Robinson, Peter (2009). Large-sample inference on spatial dependence. Econometrics Journal, 12(s1), S68-S82. https://doi.org/10.1111/j.1368-423X.2008.00264.x

Robinson, Peter (1986). On the consistency and finite-sample properties of nonparametric kernel time series regression, autoregression and density estimators. Annals of the Institute of Statistical Mathematics, 38(1), 539-549. https://doi.org/10.1007/BF02482541

Robinson, Peter (1982). On the convergence of the Horvitz-Thompson estimator. Australian Journal of Statistics, 24(2), 234-238. https://doi.org/10.1111/j.1467-842X.1982.tb00829.x

Robinson, Peter (1974). Stochastic difference equations with non-integral differences. Advances in Applied Probability, 6(3), 524-545.

Robinson, Peter, Dunsmuir, W (1981). Parametric estimators for stationary time series with missing observations. Advances in Applied Probability, 13, 129-146.

Robinson, Peter, Hannan, E J (1973). Lagged regression with unknown lags. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 35, 252-267.

Robinson, Peter, Thomson, P J (1996). Estimation of second-order properties from jittered time series. Annals of the Institute of Statistical Mathematics, 48(1), 29-48. https://doi.org/10.1007/BF00049287

Robinson, Peter M. (2010). Efficient estimation of the semiparametric spatial autoregressive model. Journal of Econometrics, 157(1), 6-17. https://doi.org/10.1016/j.jeconom.2009.10.031

Robinson, Peter M. (2012). Inference on power law spatial trends. Bernoulli, 18(2), 644-677. https://doi.org/10.3150/10-BEJ349

Robinson, Peter M. (2012). Nonparametric trending regression with cross-sectional dependence. Journal of Econometrics, 169(1), 4-14. https://doi.org/10.1016/j.jeconom.2012.01.005

Robinson, Peter M. (2009). On discrete sampling of time-varying continuous-time systems. Econometric Theory, 25(04), 985-994. https://doi.org/10.1017/S0266466608090373

Robinson, Peter (2019). Spatial long memory. Japanese Journal of Statistics and Data Science, https://doi.org/10.1007/s42081-019-00061-z picture_as_pdf

Robinson, Peter M. (2003). Denis Sargan: some perspectives. Econometric Theory, 19(3), 481-494. https://doi.org/10.1017/S0266466603193073

Robinson, Peter M. (1997). Large-sample inference for nonparametric regression with dependent errors. Annals of Statistics, 25(5), 2054-2083. https://doi.org/10.1214/aos/1069362387

Robinson, Peter M., Henry, M. (1999). Long and short memory conditional heteroskedasticity in estimating the memory parameter of levels. Econometric Theory, 15(3), 299-336. https://doi.org/10.1017/S0266466699153027

Romaniuk, H., Skinner, Chris J., Cooper, P. J. (1999). Modelling consumers' use of products. Journal of the Royal Statistical Society. Series A: Statistics in Society, 162(3), 407-421. https://doi.org/10.1111/1467-985X.00144

Romano, Alessandro, Sotis, Chiara, Dominioni, Goran, Guidi, Sebastián (2020). The scale of COVID-19 graphs affects understanding, attitudes, and policy preferences. Health Economics, 29(11), 1482 - 1494. https://doi.org/10.1002/hec.4143 picture_as_pdf

Romeo, Renee, Knapp, Martin, Scott, Stephen (2006). Economic cost of severe antisocial behaviour in children – and who pays it. British Journal of Psychiatry, 188(6), 547-553. https://doi.org/10.1192/bjp.bp.104.007625

Rosenblatt, Lucas, Herman, Bernease, Holovenko, Anastasia, Lee, Wonkwon, Loftus, Joshua, McKinnie, Elizabeth, Rumezhak, Taras, Stadnik, Andrii, Howe, Bill, Stoyanovich, Julia (2023). Epistemic parity: reproducibility as an evaluation metric for differential privacy. Proceedings of the VLDB Endowment, 16(11), 3178 – 3191. https://doi.org/10.14778/3611479.3611517 picture_as_pdf

Rudas, Tamas, Bergsma, Wicher (2005). On applications of marginal models for categorical data. Metron, LXII, 1-25.

Rudas, Tamas, Bergsma, Wicher (2004). Reconsidering the odds ratio as a measure of 2 x 2 association in a population. Statistics in Medicine, 22, 3445-3447.

Ruf, Johannes, Wang, Weiguan (2022). Hedging with linear regressions and neural networks. Journal of Business and Economic Statistics, 40(4), 1442 - 1454. https://doi.org/10.1080/07350015.2021.1931241 picture_as_pdf

Rupp, Rudolf, Sasane, Amol (2009). On the density of stabilizable plants in the class of unstabilizable plants: the real symmetric disk algebra case. Journal of the Franklin Institute, 346(8), 784-793. https://doi.org/10.1016/j.jfranklin.2009.04.004

Rédei, Miklós, Summers, Stephen J. (2002). Local primitive causality and the common cause principle in quantum field theory. Foundations of Physics, 32(3), 335-355. https://doi.org/10.1023/A:1014869211488

Samuelsen, S.O., Aanestad, H., Skrondal, Anders (2007). Stratified case-cohort analysis of general cohort sampling designs. Scandinavian Journal of Statistics, 34(1), 103-119. https://doi.org/10.1111/j.1467-9469.2006.00552.x

Samuelsen, S.O., Wisloff, T.F., Skrondal, Anders (2006). A simple correction for ties when censoring times depend on covariates. Statistics in Medicine, 24(20), 3111-3121. https://doi.org/10.1002/sim.2173

Sanders, James, Lisi, Giulio, Schonhardt-Bailey, Cheryl (2018). Themes and topics in parliamentary oversight hearings: a new direction in textual data analysis. Statistics, Politics and Policy, https://doi.org/10.1515/spp-2017-0012

Sanderson, Jean, Fryzlewicz, Piotr, Jones, M. W. (2010). Estimating linear dependence between nonstationary time series using the locally stationary wavelet model. Biometrika, 97(2), 435-446. https://doi.org/10.1093/biomet/asq007

Sankar, Subhra, Bergsma, Wicher, Dassios, Angelos (2017). Testing independence of covariates and errors in nonparametric regression. Scandinavian Journal of Statistics, 45(3), 421-443. https://doi.org/10.1111/sjos.12301

Santos Silva, Joao, Tenreyro, Silvana (2011). Poisson: some convergence issues. Stata Journal, 11(2), 207-212.

Sariev, Eduard, Germano, Guido (2020). Bayesian regularized artificial neural networks for the estimation of the probability of default. Quantitative Finance, 20(2), 311-328. https://doi.org/10.1080/14697688.2019.1633014 picture_as_pdf

Sayers, A., Heron, J., Smith, A., Macdonald-Wallis, C., Gilthorpe, M., Steele, F., Tilling, K. (2017). Joint modelling compared with two stage methods for analysing longitudinal data and prospective outcomes: a simulation study of childhood growth and BP. Statistical Methods in Medical Research, 26(1), 437-452. https://doi.org/10.1177/0962280214548822

Sayers, Adrian, Ben-Shlomo, Yoav, Blom, Ashley W., Steele, Fiona (2015). Probabilistic record linkage. International Journal of Epidemiology, https://doi.org/10.1093/ije/dyv322

Scaramozzino, Roberta, Cerchiello, Paola, Aste, Tomaso (2021). Information theoretic causality detection between financial and sentiment data. Entropy, 23(5). https://doi.org/10.3390/e23050621 picture_as_pdf

Schafgans, Marcia M. A., Zinde-Walsh, Victoria (2026). Multivariate kernel regression in vector and product metric spaces. Journal of Econometrics, 253, https://doi.org/10.1016/j.jeconom.2025.106168 picture_as_pdf

Schankerman, Mark, Pakes, Ariel (1985). Valeur et obsolescence des brevets: une analyse des statistiques de renouvellement des brevets européens. Revue Economique, (5), 917-942.

Schneider, Nicolas, Strielkowski, Wadim (2023). Modelling the unit root properties of electricity data—A general note on time-domain applications. Physica A, 618, https://doi.org/10.1016/j.physa.2023.128685

Schouten, Barry, Shlomo, Natalie, Skinner, Chris J. (2011). Indicators for monitoring and improving representativeness of response. Journal of Official Statistics, 27(2), 231-253.

Schrab, Antonin, Jitkrittum, Wittawat, Szabo, Zoltan, Sejdinovic, Dino, Gretton, Arthur (2022). Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’. Biometrika, 109(3), 597 – 603. https://doi.org/10.1093/biomet/asac028 picture_as_pdf

Scully, Roger, Hix, Simon, Farrell, David M. (2012). National or European parliamentarians?: evidence from a new survey of the Members of the European Parliament. Journal of Common Market Studies, 50(4), 670-683. https://doi.org/10.1111/j.1468-5965.2012.02250.x

Scutari, Marco, Panero, Francesca, Proissl, Manuel (2022). Achieving fairness with a simple ridge penalty. Statistics and Computing, 32(5). https://doi.org/10.1007/s11222-022-10143-w picture_as_pdf

Seabrook, Isobel, Barucca, Paolo, Caccioli, Fabio (2022). Structural importance and evolution: an application to financial transaction networks. Physica A, 607, https://doi.org/10.1016/j.physa.2022.128203 picture_as_pdf

Sear, Rebecca, Steele, Fiona, McGregor, Ian A., Mace, Ruth (2002). The effects of kin on child mortality in rural Gambia. Demography, 39(1), 43-63.

Sekar, Shreyas, Vojnovic, Milan, Yun, Se-Young (2020). A test score based approach to stochastic submodular optimization. Management Science, https://doi.org/10.1287/mnsc.2020.3585 picture_as_pdf

Seymour, Janelle, McNamee, Paul, Scott, Anthony, Tinelli, Michela (2010). Shedding new light onto the ceiling and floor?: a quantile regression approach to compare EQ-5D and SF-6D responses. Health Economics, 19(6), 683-696. https://doi.org/10.1002/hec.1505

Sgouropoulos, Nikolaos, Yao, Qiwei, Yastremiz, Claudia (2015). Matching a distribution by matching quantiles estimation. Journal of the American Statistical Association, 110(510), 742 - 759. https://doi.org/10.1080/01621459.2014.929522

Shi, Chengchun, Fan, Ailin, Song, Rui, Lu, Wenbin (2018). High-dimensional A-learning for optimal dynamic treatment regimes. Annals of Statistics, 46(3), 925 - 957. https://doi.org/10.1214/17-AOS1570 picture_as_pdf

Shi, Chengchun, Li, Lexin (2022). Testing mediation effects using logic of Boolean matrices. Journal of the American Statistical Association, 117(540), 2014 - 2027. https://doi.org/10.1080/01621459.2021.1895177 picture_as_pdf

Shi, Chengchun, Lu, Wenbin, Song, Rui (2019). Determining the number of latent factors in statistical multi-relational learning. Journal of Machine Learning Research, 20, 1 - 38. picture_as_pdf

Shi, Chengchun, Lu, Wenbin, Song, Rui (2018). A massive data framework for M-estimators with cubic-rate. Journal of the American Statistical Association, 113(524), 1698 - 1709. https://doi.org/10.1080/01621459.2017.1360779 picture_as_pdf

Shi, Chengchun, Lu, Wenbin, Song, Rui (2019). A sparse random projection-based test for overall qualitative treatment effects. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2019.1604368 picture_as_pdf

Shi, Chengchun, Luo, Shikai, Le, Yuan, Zhu, Hongtu, Song, Rui (2022). Statistically efficient advantage learning for offline reinforcement learning in infinite horizons. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2022.2106868 picture_as_pdf

Shi, Chengchun, Luo, Shikai, Zhu, Hongtu, Song, Rui (2021). An online sequential test for qualitative treatment effects. Journal of Machine Learning Research, 22, picture_as_pdf

Shi, Chengchun, Qi, Zhengling, Wang, Jianing, Zhou, Fan (2023). Value enhancement of reinforcement learning via efficient and robust trust region optimization. Journal of the American Statistical Association, 1-15. https://doi.org/10.1080/01621459.2023.2238942 picture_as_pdf

Shi, Chengchun, Song, R, Lu, W (2021). Concordance and value information criteria for optimal treatment decision. Annals of Statistics, 49(1), 49 - 75. https://doi.org/10.1214/19-AOS1908 picture_as_pdf

Shi, Chengchun, Song, Rui, Chen, Zhao, Li, Runze (2019). Linear hypothesis testing for high dimensional generalized linear models. Annals of Statistics, 47(5), 2671 - 2703. https://doi.org/10.1214/18-AOS1761 picture_as_pdf

Shi, Chengchun, Song, Rui, Lu, Wenbin (2019). On testing conditional qualitative treatment effects. Annals of Statistics, 47(4), 2348 - 2377. https://doi.org/10.1214/18-AOS1750 picture_as_pdf

Shi, Chengchun, Song, Rui, Lu, Wenbin (2016). Robust learning for optimal treatment decision with NP-dimensionality. Electronic Journal of Statistics, 10(2), 2894 - 2921. https://doi.org/10.1214/16-EJS1178 picture_as_pdf

Shi, Chengchun, Song, Rui, Lu, Wenbin, Fu, Bo (2018). Maximin projection learning for optimal treatment decision with heterogeneous individualized treatment effects. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 80(4), 681 - 702. https://doi.org/10.1111/rssb.12273 picture_as_pdf

Shi, Chengchun, Song, Rui, Lu, Wenbin, Li, Runzi (2020). Statistical inference for high-dimensional models via recursive online-score estimation. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2019.1710154 picture_as_pdf

Shi, Chengchun, Wan, Runzhe, Song, Ge, Luo, Shikai, Zhu, Hongtu, Song, Rui (2023). A multiagent reinforcement learning framework for off-policy evaluation in two-sided markets. Annals of Applied Statistics, 17(4), 2701 - 2722. https://doi.org/10.1214/22-AOAS1700 picture_as_pdf

Shi, Chengchun, Wang, Xiaoyu, Luo, Shikai, Zhu, Hongtu, Ye, Jieping, Song, Rui (2022). Dynamic causal effects evaluation in A/B testing with a reinforcement learning framework. Journal of the American Statistical Association, 1 - 13. https://doi.org/10.1080/01621459.2022.2027776 picture_as_pdf

Shi, Chengchun, Xu, Tianlin, Bergsma, Wicher, Li, Lexin (2021). Double generative adversarial networks for conditional independence testing. Journal of Machine Learning Research, picture_as_pdf

Shi, Chengchun, Zhang, Shengxing, Lu, Wenbin, Song, Rui (2022). Statistical inference of the value function for reinforcement learning in infinite-horizon settings. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 84(3), 765 - 793. https://doi.org/10.1111/rssb.12465 picture_as_pdf

Shi, Chengchun, Zhou, Yunzhe, Li, Lexin (2024). Testing directed acyclic graph via structural, supervised and generative adversarial learning. Journal of the American Statistical Association, 119(547), 1833 - 1846. https://doi.org/10.1080/01621459.2023.2220169 picture_as_pdf

Shi, Chengchun, Zhu, Jin, Shen, Ye, Luo, Shikai, Zhu, Hongtu, Song, Rui (2022). Off-policy confidence interval estimation with confounded Markov decision process. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2022.2110878 picture_as_pdf

Shlomo, Natalie, Skinner, Chris (2022). Measuring risk of re-identification in microdata: state-of-the art and new directions. Journal of the Royal Statistical Society. Series A: Statistics in Society, 185(4), 1644 - 1662. https://doi.org/10.1111/rssa.12902 picture_as_pdf

Shlomo, Natalie, Skinner, Chris J. (2010). Assessing the protection provided by misclassification-based disclosure limitation methods for survey microdata. Annals of Applied Statistics, 4(3), 1291-1310. https://doi.org/10.1214/09-AOAS317

Shlomo, Natalie, Skinner, Chris J., Schouten, Barry (2012). Estimation of an indicator of the representativeness of survey response. Journal of Statistical Planning and Inference, 142(1), 201-211. https://doi.org/10.1016/j.jspi.2011.07.008

Sholmo, Natalie, Skinner, Chris J. (2012). Privacy protection from sampling and perturbation in survey microdata. Journal of Privacy and Confidentiality, 4(1), 155-169.

Shroff, Ravi, Vamvourellis, Konstantinos (2022). Pretrial release judgments and decision fatigue. Judgment and Decision Making, 17(6), 1176-1207. picture_as_pdf

Sigle-Rushton, Wendy, Hobcraft, John, Kiernan, Kathleen (2005). Parental divorce and subsequent disadvantage: a cross-cohort comparison. Demography, 42(3), 427-446. https://doi.org/10.1353/dem.2005.0026

Silva, Nascimento, Skinner, Chris J. (1995). Estimating distribution functions with auxiliary information using poststratification. Journal of Official Statistics, 11(3), 277-294.

Simpson, Cohen R. (2022). Social support and network formation in a small-scale horticulturalist population. Scientific Data, 9(1). https://doi.org/10.1038/s41597-022-01516-x picture_as_pdf

Sitter, R. R., Skinner, Chris J. (1994). Multi-way stratification by linear programming. Survey Methodology, 20(1), 65-73.

Siu, Tak Kien, Tong, Howell, Yang, Hailiang (2006). Option pricing under threshold autoregressive models by threshold Esscher transform. Journal of Industrial and Management Optimization, 2(2), 177-197.

Siu, Tak Kuen, Tong, Howell, Yang, Hailiang (2001). Bayesian risk measures for derivatives for random Esscher transform. North American Actuarial Journal, 5(3), 78-91.

Skinner, Chris, Mason, Ben (2012). Weighting in the regression analysis of survey data with a cross-national application. Canadian Journal of Statistics, 40(4), 697-711. https://doi.org/10.1002/cjs.11155

Skinner, Chris J. (2011). Book review: 'advances in sampling theory - ratio method of estimation’ by Cingi, H. and Kadilar, C. Journal of the American Statistical Association, 106(493), 375-382. https://doi.org/10.1198/jasa.2011.br1103.

Skinner, Chris J. (1999). Calibration weighting and non-sampling errors. Research in Official Statistics, 2, 33-43.

Skinner, Chris J. (1996). Comment of J. Shao,'invited discussion paper resampling methods in sample surveys. Statistics, 27(3-4), 203-237. https://doi.org/10.1080/02331889708802523

Skinner, Chris J. (2004). Comment on: A. Demnati and J.N.K. Rao, 'linearization variance estimators for model parameters from complex survey data'. Survey Methodology, 30(1), 17-18.

Skinner, Chris J. (1997). Comments on G.M. Fitzmaurice, A.F. Heath and D.R. Cox, ‘detecting overdispersion in large scale surveys: application to a study of education and social class in Britain’. Journal of the Royal Statistical Society. Series C: Applied Statistics, 46(4), 429-431. https://doi.org/10.1111/1467-9876.00081

Skinner, Chris J. (2005). Contribution to discussion of J. Copas and S. Eguchi, ‘local model uncertainty and incomplete-data bias’. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 67(4), p. 500. https://doi.org/10.1111/j.1467-9868.2005.00512.x

Skinner, Chris J. (2002). Discussion. Journal of Official Statistics, 18(2), 155-156.

Skinner, Chris J. (1997). Discussion of D. Steel, ‘producing monthly estimates of unemployment and employment according to the International Labour Office definition’. Journal of the Royal Statistical Society. Series A: Statistics in Society, 160(1), p. 39. https://doi.org/10.1111/1467-985X.00044

Skinner, Chris J. (1997). Discussion of J. B. Copas and H. G. Li, 'inference for non-random samples'. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 59(1), 77-78. https://doi.org/10.1111/1467-9868.00055

Skinner, Chris J. (2002). Jackknife variance estimation for multivariate statistics under hot-deck imputation from common donors. Journal of Statistical Planning and Inference, 102(1), 149-167. https://doi.org/10.1016/S0378-3758(01)00185-9

Skinner, Chris J. (1998). Logistic modelling of longitudinal survey data with measurement error. Statistica Sinica, 8(4), 1045-1058.

Skinner, Chris J. (2012). Rejoinder. International Statistical Review, 80(3), 379-381. https://doi.org/10.1111/j.1751-5823.2012.00192.x

Skinner, Chris J. (2012). Statistical disclosure risk: separating potential and harm. International Statistical Review, 80(3), 349-368. https://doi.org/10.1111/j.1751-5823.2012.00194.x

Skinner, Chris J., Carter, Randy (2003). Estimation of a measure of disclosure risk for survey microdata under unequal probability sampling. Survey Methodology, 29(2), 177-180.

Skinner, Chris J., Coker, O. (1996). Regression analysis of complex survey data with missing values of a covariate. Journal of the Royal Statistical Society. Series A: Statistics in Society, 159(2), 265-274.

Skinner, Chris J., Elliot, M. J. (2002). A measure of disclosure risk for microdata. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 64(4), 855-867. https://doi.org/10.1111/1467-9868.00365

Skinner, Chris J., Holmes, D. J., Holt, D. (1994). Multiple frame sampling for multivariate stratification. International Statistical Review, 62(3), 333-347.

Skinner, Chris J., Humphreys, K. (1997). Instrumental variable estimation of gross flows in the presence of measurement error. Survey Methodology, 23(1), 53-60.

Skinner, Chris J., Humphreys, K. (1999). Weibull regression for lifetimes measured with error. Lifetime Data Analysis, 5(1), 23-37. https://doi.org/10.1023/A:1009674915476

Skinner, Chris J., Marsh, Catherine, Openshaw, Stan, Wymer, Colin (1994). Disclosure control for census microdata. Journal of Official Statistics, 10(1), 31-51.

Skinner, Chris J., Rao, J. N. K. (1996). Estimation in dual frame surveys with complex designs. Journal of the American Statistical Association, 91(433), 349-356.

Skinner, Chris J., Stuttard, Nigel, Beissel-Durrant, Gabriele, Jenkins, James (2002). The measurement of low pay in the UK labour force survey. Oxford Bulletin of Economics and Statistics, 64(supple), 653-676. https://doi.org/10.1111/1468-0084.64.s.5

Skinner, C. J. (2015). Cross-classified sampling: some estimation theory. Statistics and Probability Letters, 104, 163-168. https://doi.org/10.1016/j.spl.2015.06.001

Skinner, Chris J. (2018). Analysis of categorical data for complex surveys. International Statistical Review, https://doi.org/10.1111/insr.12285

Skinner, Chris J. (1994). Comment on X-L Meng, ‘multiple-imputation inferences with uncongenial sources of input’. Statistical Science, 9(4), 561-563.

Skinner, Chris J. (2017). Comments on the Rao and Fuller (2017) paper. Survey Methodology, 43, 179-181.

Skinner, Chris J. (2007). Discussion of J.F.Bjørnstad, ‘Non-Bayesian multiple imputation’. Journal of Official Statistics, 23(4), 463-465.

Skinner, Chris J. (2007). The probability of identification: applying ideas from forensic statistics to disclosure risk assessment. Journal of the Royal Statistical Society. Series A: Statistics in Society, 170(1), 195-212. https://doi.org/10.1111/j.1467-985X.2006.00457.x

Skinner, Chris J., D'Arrigo, Julia (2011). Inverse probability weighting for clustered nonresponse. Biometrika, 98(4), 953-966. https://doi.org/10.1093/biomet/asr058

Skinner, Chris J., Shlomo, N. (2012). Estimating frequencies of frequencies in finite populations. Statistics and Probability Letters, 82(12), 2206-2212. https://doi.org/10.1016/j.spl.2012.07.023

Skinner, Chris J., Shlomo, Natalie (2008). Assessing identification risk in survey microdata using log-linear models. Journal of the American Statistical Association, 103(483), 989-1001. https://doi.org/10.1198/016214507000001328

Skinner, Chris J., Steele, Fiona (2020). Estimation of dyadic characteristics of family networks using sample survey data. Annals of Applied Statistics, 14(2), 706 - 726. https://doi.org/10.1214/19-AOAS1308 picture_as_pdf

Skinner, Chris J., Vallet, L.-A. (2010). Fitting log-linear models to contingency tables from surveys with complex sampling designs: an investigation of the Clogg-Eliason approach. Sociological Methods and Research, 39(1), 83-108. https://doi.org/10.1177/0049124110366239

Skinner, Chris J., Wakefield, Jon (2017). Introduction to the design and analysis of complex survey data. Statistical Science, 32(2), 165-175. https://doi.org/10.1214/17-STS614

Skinner, Chris J., de Toledo Vieira, Marcel (2007). Variance estimation in the analysis of clustered longitudinal survey data. Survey Methodology, 33(1), 3-12.

Skinner, Chris, Lawson, Nuanpan (2025). Nonresponse adjustment using auxiliary variables subject themselves to missing data. WSEAS Transactions on Systems, 24, 106 - 111. https://doi.org/10.37394/23202.2025.24.12 picture_as_pdf

Skrondal, Anders, Laake, Petter (2001). Regression among factor scores. Psychometrika, 66(4), 563-575. https://doi.org/10.1007/BF02296196

Skrondal, Anders, Rabe-Hesketh, S., Pickles, A. (2005). Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects. Journal of Econometrics, 128(2), 301-323. https://doi.org/10.1016/j.jeconom.2004.08.017

Skrondal, Anders, Rabe-Hesketh, Sophia (2007). Latent variable modelling: a survey. Scandinavian Journal of Statistics, 34(7), 712-745. https://doi.org/10.1111/j.1467-9469.2007.00573.x

Skrondal, Anders, Rabe-Hesketh, Sophia (2003). Multilevel logistic regression for polytomous data and rankings. Psychometrika, 68(2), 267-287. https://doi.org/10.1007/BF02294801

Skrondal, Anders, Rabe-Hesketh, Sophia (2007). Redundant overdispersion parameters in multilevel models for categorical responses. Journal of Educational and Behavioral Statistics, 32(4), 419-430. https://doi.org/10.3102/1076998607302629

Skrondal, Anders, Rabe-Hesketh, Sophia (2003). Some applications of generalized linear latent and mixed models in epidemiology: repeated measures, measurement error and multilevel modeling. Norwegian Journal of Epidemiology, 13(2), 265-278.

Skrondal, Anders, Kuha, Jouni (2012). Improved regression calibration. Psychometrika, 77(4), 649-669. https://doi.org/10.1007/s11336-012-9285-1

Smith, Leonard A. (1992). Comments on the paper of R Smith, estimating dimension in noisy chaotic time series. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 54(2), 329-352.

Smith, Leonard A. (1995). A personal overview of nonlinear time-series analysis from a chaos perspective - comments. Scandinavian Journal of Statistics, 22(4), 435-437.

Smith, Leonard A., Ziehmann, C., Fraedrich, K. (1999). Uncertainty dynamics and predictability in chaotic systems. Quarterly Journal of the Royal Meteorological Society, 125(560), 2855-2886. https://doi.org/10.1002/qj.49712556005

Smith, P. W. F., Skinner, Chris J., Clarke, P. S. (1999). Allowing for non-ignorable non-response in the analysis of voting intention data. Journal of the Royal Statistical Society. Series C: Applied Statistics, 48(4), 563-577. https://doi.org/10.1111/1467-9876.00172

Smith, Leonard A., Du, Hailiang, Higgins, Sarah (2020). Designing multi-model applications with surrogate forecast systems. Monthly Weather Review, 148(6), 2233 - 2249. https://doi.org/10.1175/MWR-D-19-0061.1 picture_as_pdf

Smith, Leonard A., Suckling, Emma B., Thompson, Erica L., Maynard, Trevor, Du, Hailiang (2015). Towards improving the framework for probabilistic forecast evaluation. Climatic Change, 132(1), 31-45. https://doi.org/10.1007/s10584-015-1430-2

Song, Na, Siu, Tak Kuen, Ching, Wa-Ki, Tong, Howell, Yang, Hailiang (2011). Asset allocation under threshold autoregressive models. Applied Stochastic Models in Business and Industry, 28(1), 60-72. https://doi.org/10.1002/asmb.897

Sorour, A E, Tong, Howell (1993). A note on tests for threshold-type nonlinearity in open loop systems. Journal of Applied Statistics, 42(1), 95-104.

Sozou, Peter D., Hartshorne, Geraldine M. (2012). Time to pregnancy: a computational method for using the duration of non-conception for predicting conception. PLOS ONE, 7(10), e46544. https://doi.org/10.1371/journal.pone.0046544

Sparago, Pietro (2025). Note on the weak convergence of hyperplane α-quantile functionals and their continuity in the Skorokhod J1 topology. Journal of Theoretical Probability, 38(1). https://doi.org/10.1007/s10959-024-01390-w picture_as_pdf

Spydslaug, A., Eskild, A., Trogstad, L. I. S., Nesheim, B. I., Skrondal, Anders (2005). Recurrent risk of anal sphincter laceration among women with vaginal deliveries. Obstetrics and Gynecology, 105, 307-313.

Stares, Sally (2009). Using latent class models to explore cross-national typologies of public engagement with science and technology in Europe. Science, Technology and Society, 14(2), 289-329. https://doi.org/10.1177/097172180901400205

Steele, Fiona (2008). Book review: Skrondal A. and Rabe-Hesketh S. (2004) Generalized latent variable modelling: multilevel, longitudinal and structural equation models. Statistical Methods in Medical Research, 17(1), p. 119. https://doi.org/10.1177/09622802080170010702

Steele, Fiona (2011). Multilevel discrete-time event history analysis with applications to the analysis of recurrent employment transitions. Australian and New Zealand Journal of Statistics, 53(1), 1-20. https://doi.org/10.1111/j.1467-842X.2011.00604.x

Steele, Fiona (2003). Selection effects of source of contraceptive supply in an analysis of discontinuation of contraception: multilevel modelling when random effects are correlated with an explanatory variable. Journal of the Royal Statistical Society. Series A: Statistics in Society, 166(3), 407-423. https://doi.org/10.1111/1467-985X.00284

Steele, Fiona (2003). A discrete-time multilevel mixture model for event history data with long-term survivors, with an application to an analysis of contraceptive sterilization in Bangladesh. Lifetime Data Analysis, 9(2), 155-174. https://doi.org/10.1023/A:1022930918859

Steele, Fiona, Amin, Sajeda, Naved, Ruchira T. (2001). Savings/credit group formation and change in contraception. Demography, 38(2), 267 - 282. https://doi.org/10.1353/dem.2001.0021

Steele, Fiona, Brown, James, Chambers, Ray (2002). A controlled donor imputation system for a one-number census. Journal of the Royal Statistical Society. Series A: Statistics in Society, 165(3), 495-522. https://doi.org/10.1111/1467-985X.t01-1-00250

Steele, Fiona, Curtis, Siân (2003). Appropriate methods for analyzing the effect of method choice on contraceptive discontinuation. Demography, 40(1), 1 - 22. https://doi.org/10.1353/dem.2003.0009

Steele, Fiona, French, Robert, Bartley, Mel (2013). Adjusting for selection bias in longitudinal analyses using simultaneous equations modeling: the relationship between employment transitions and mental health. Epidemiology, 24(5), 703-711. https://doi.org/10.1097/EDE.0b013e31829d2479

Steele, Fiona, Goldestein, Harvey (2006). A multilevel factor model for mixed binary and ordinal indicators of women's status. Sociological Methods and Research, 35(1), 137-153. https://doi.org/10.1177/0049124106289112

Steele, Fiona, Goldstein, Harvey, Browne, William (2004). A general multilevel multistate competing risks model for event history data, with an application to a study of contraceptive use dynamics. Statistical Modelling, 4(2), 145-159. https://doi.org/10.1191/1471082X04st069oa

Steele, Fiona, Joshi, Heather, Kallis, Constantinos, Goldstein, Harvey (2006). Changing compatibility of cohabitation and childbearing between young British women born in 1958 and 1970. Population Studies, 60(2), 137-152. https://doi.org/10.1080/00324720600598009

Steele, Fiona, Kallis, Constantinos, Goldstein, Harvey, Joshi, Heather (2005). The relationship between childbearing and transitions from marriage and cohabitation in Britain. Demography, 42(4), 647-673. https://doi.org/10.1353/dem.2005.0038

Steele, Fiona, Kallis, Constantinos, Joshi, Heather (2006). The formation and outcomes of cohabiting and marital partnerships in early adulthood: the role of previous partnership experience. Journal of the Royal Statistical Society. Series A: Statistics in Society, 169(4), 757-779. https://doi.org/10.1111/j.1467-985X.2006.00420.x

Steele, Fiona, Sigle-Rushton, Wendy, Kravdal, Øystein (2009). Consequences of family disruption on children's educational outcomes in Norway. Demography, 46(3), 553-574. https://doi.org/10.1353/dem.0.0063

Steele, Katie (2013). Persistent experimenters, stopping rules, and statistical inference. Erkenntnis, 78(4), 937-961. https://doi.org/10.1007/s10670-012-9388-1

Steele, Fiona (2008). Multilevel models for longitudinal data. Journal of the Royal Statistical Society. Series A: Statistics in Society, 171(1), 5-19. https://doi.org/10.1111/j.1467-985X.2007.00509.x

Steele, Fiona, Clarke, Paul, Kuha, Jouni (2019). Modeling within-household associations in household panel studies. Annals of Applied Statistics, 13(1), 367-392. https://doi.org/10.1214/18-AOAS1189

Steele, Fiona, Clarke, Paul, Leckie, George, Allan, Julia, Johnston, Derek (2017). Multilevel structural equation models for longitudinal data where predictors are measured more frequently than outcomes: an application to the effects of stress on the cognitive function of nurses. Journal of the Royal Statistical Society. Series A: Statistics in Society, 180(1), 263 - 283. https://doi.org/10.1111/rssa.12191

Steele, Fiona, Durrant, Gabriele B. (2011). Alternative approaches to multilevel modelling of survey non-contact and refusal. International Statistical Review, 79(1), 70-91. https://doi.org/10.1111/j.1751-5823.2011.00133.x

Steele, Fiona, Grundy, Emily (2021). Random effects dynamic panel models for unequally-spaced multivariate categorical repeated measures: an application to child-parent exchanges of support. Journal of the Royal Statistical Society. Series C: Applied Statistics, 70(1), 3 - 23. https://doi.org/10.1111/rssc.12446 picture_as_pdf

Steele, Fiona, Rasbash, Jon, Jenkins, Jennifer (2013). A multilevel simultaneous equations model for within-cluster dynamic effects, with an application to reciprocal parent–child and sibling effects. Psychological Methods, 18(1), 87-100. https://doi.org/10.1037/a0029316

Steele, Fiona, Vignoles, Anna, Jenkins, Andrew (2007). The effect of school resources on pupil attainment: a multilevel simultaneous equation modelling approach. Journal of the Royal Statistical Society. Series A: Statistics in Society, 170(3), 801-824. https://doi.org/10.1111/j.1467-985X.2007.00476.x

Steele, Fiona, Washbrook, Elizabeth, Charlton, Christopher, Browne, William J. (2016). A longitudinal mixed logit model for estimation of push and pull effects in residential location choice. Journal of the American Statistical Association, 111(515), 1061 - 1074. https://doi.org/10.1080/01621459.2016.1180984

Steele, Fiona, Zhang, Siliang, Grundy, Emily, Burchardt, Tania (2024). Longitudinal analysis of exchanges of support between parents and children in the UK. Journal of the Royal Statistical Society. Series A: Statistics in Society, 187(2), 279 - 304. https://doi.org/10.1093/jrsssa/qnad110 picture_as_pdf

Stenseth, N.C, Chan, K.S, Boonstra, S, Boutin, S, Krebs, C.J, Post, E, O'Donoghue, M, Yoccoz, N.G, Forchhammer, M.C & Hurrell, J.W et al (1999). Common dynamic structure of Canadian lynx populations within three geoclimate regions. Science, 285(5430), 1071-1077. https://doi.org/10.1126/science.285.5430.1071

Stern, Samuel, Livan, Giacomo (2021). The impact of noise and topology on opinion dynamics in social networks. Royal Society Open Science, 8(4). https://doi.org/10.1098/rsos.201943 picture_as_pdf

Sterzinger, Philipp, Kosmidis, Ioannis, Moustaki, Irini (2026). Maximum softly penalised likelihood in factor analysis. Psychometrika, [In Press] picture_as_pdf

Stoebenau, Kirsten, Nixon, Stephanie A., Rubincam, Clara, Willan, Samantha, Zembe, Yanga Z.N., Tsikoane, Tumelo, Tanga, Pius T., Bello, Haruna M., Caceres, Carlos F. & Townsend, Loraine et al (2011). More than just talk: the framing of transactional sex and its implications for vulnerability to HIV in Lesotho, Madagascar and South Africa. Globalization and Health, 7(34). https://doi.org/10.1186/1744-8603-7-34

Strong, Peter, Shenvi, Aditi, Yu, Xuewen, Papamichail, K. Nadia, Wynn, Henry P., Smith, Jim Q. (2023). Building a Bayesian decision support system for evaluating COVID-19 countermeasure strategies. Journal of the Operational Research Society, 74(2), 476 - 488. https://doi.org/10.1080/01605682.2021.2023673 picture_as_pdf

Sturgis, Patrick (2004). Analysing complex survey data: clustering, stratification and weights. Social Research Update, Autumn(43), 1 - 4.

Sturgis, Patrick (2004). The effect of coding error on time use surveys estimates. Journal of Official Statistics, 20(3), 467 – 480.

Subasi, M., Subasi, E., Anthony, Martin, Hammer, P. L. (2009). Using a similarity measure for credible classification. Discrete Applied Mathematics, 157(5), 1104-1112. https://doi.org/10.1016/j.dam.2008.04.007

Subba Rao, T, Tong, Howell (1974). Identification of the covariance structure of state space models. Bulletin of the Institute of Mathematics and Its Applications, 11(5/6), 2001-203.

Subba Rao, T, Tong, Howell (1973). On some tests for time-dependence of a transfer function. Biometrika, 60(3), 589-597. https://doi.org/10.1093/biomet/60.3.589

Subba Rao, T, Tong, Howell (1972). A test for time-dependence of linear open loop systems. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 34, 235-250.

Suckling, Emma B., Smith, Leonard A. (2013). An evaluation of decadal probability forecasts from state-of-the-art climate models. Journal of Climate, 26(23), 9334-9347. https://doi.org/10.1175/JCLI-D-12-00485.1

Sugiyama, T, Tong, Howell (1976). On a statistic useful for dimensionality reduction of linear stochastic systems. Communications in Statistics - Theory and Methods, 5(8), 711-721. https://doi.org/10.1080/03610927608827389

Suárez, Mauricio (2013). Propensities and pragmatism. The Journal of Philosophy, 110(2), 61-92.

Szmaragd, Camille, Clarke, Paul, Steele, Fiona (2013). Subject specific and population average models for binary longitudinal data: a tutorial. Longitudinal and Life Course Studies, 42(2), 147-165.

Sáenz-de-Cabezón, Eduardo, Wynn, Henry P. (2009). Betti numbers and minimal free resolutions for multi-state system reliability bounds. Journal of Symbolic Computation, 44(9), 1311-1325. https://doi.org/10.1016/j.jsc.2008.06.002

Tang, Bo Rui, Zhu, Jin, Wang, Ting Yin, Zhu, Junxian (2025). A splicing algorithm for best subset selection in sliced inverse regression. Journal of University of Science and Technology of China, 55(5). https://doi.org/10.52396/JUSTC-2024-0034 picture_as_pdf

Tao, Minjing, Wang, Yahzen, Yao, Qiwei, Zou, Jian (2011). Large volatility matrix inference via combining low-frequency and high-frequency approaches. Journal of the American Statistical Association, 106(495), 1025-1040. https://doi.org/10.1198/jasa.2011.tm10276

Taschini, Luca, Urech, Simon (2010). The real option to fuel switch in the presence of expected windfall profits under the EU Emission Trading Scheme. Journal of Energy Markets,

Tirone, Salvatore, Ghio, Maddalena, Livieri, Giulia, Giovannetti, Vittorio, Marmi, Stefano (2021). Kelly betting with quantum payoff: a continuous variable approach. Quantum, (5), https://doi.org/10.22331/Q-2021-09-21-545 picture_as_pdf

Todorov, V., Petkova, K., Bauer, Martin W. (2009). In search of the universal dimensions of Public Perception of Science. Science, Technology and Society, 14(2), 331-347. https://doi.org/10.1177/097172180901400206

Tong, Howell (1975). Autoregressive model fitting with noisy data by Akaike's information criterion. IEEE Transactions on Information Theory, IT-21, 476-480.

Tong, Howell (1993). Between chance and chaos. Twenty-First Century, 20, 90-98.

Tong, Howell (2007). Birth of the threshold time series model. Statistica Sinica, 17(1), 8-14.

Tong, Howell (1992). Contrasting aspects of nonlinear time series analysis. IMA Volumes in Mathematics and Its Applications, 45, 357-370.

Tong, Howell (1975). Determination of the order of a Markov chain by Akaike's information criterion. Journal of Applied Probability, 12(3), 488-497.

Tong, Howell (1982). Discontinuous decision processes and threshold autoregressive time series modelling. Biometrika, 69(1), 274-276. https://doi.org/10.1093/biomet/69.1.274

Tong, Howell (2012). Discussion of 'An analysis of global warming in the Alpine region based on nonlinear nonstationary time series models' by Battaglia and Protopapas. Statistical Methods and Applications, 21(3), 335-339. https://doi.org/10.1007/s10260-012-0196-1

Tong, Howell (1979). Final prediction error and final interpolation error: a paradox? IEEE Transactions on Information Theory, 25(6), 758 -759.

Tong, Howell (1976). Fitting a smooth average to noisy data. IEEE Transactions on Information Theory, IT-22, 493-496.

Tong, Howell (1974). Frequency-domain approach to regulation of linear stochastic systems. Automatica, 10(5), 533-538. https://doi.org/10.1016/0005-1098(74)90054-5

Tong, Howell (1994). Is bilinear model an illusion? Statistique et Analyse des Donnees: Bulletin de L'association des Statisticiens Universitaires, 15, 57-60.

Tong, Howell (1975). Letter to the editor. Technometrics, 17, p. 393.

Tong, Howell (1977). More on AR model fitting with noisy data by AIC. IEEE Transactions on Information Theory, 23(3), 409-410.

Tong, Howell (2002). Nonlinear time series analysis since 1990: some personal reflections. Acta Mathematicae Applicatae Sinica, English Series, 18(2), 177-184. https://doi.org/10.1007/s102550200017

Tong, Howell (1989). Nonlinear time series models of regularly sampled data: a review. Progress in Mathematics, 18, 22-43.

Tong, Howell (1974). Note on the estimation of Pr{Y<X} in the negative exponential case. Technometrics, 16, p. 625.

Tong, Howell (1978). On the asymptotic joint distribution of the estimated autoregressive coefficients. International Journal of Control, 27, 801-807. https://doi.org/10.1080/00207177808922411

Tong, Howell (1977). On the estimation of Pr{Y < X} for exponential families. IEEE Transactions on Reliability, R-26, 54-56.

Tong, Howell (1974). On time-dependent linear transformations of non-stationary stochastic processes. Journal of Applied Probability, 11(1), 53-62.

Tong, Howell (1992). Some comments on a bridge between nonlinear dynamicists and statisticians. Physica Didactica, 58, 299-303.

Tong, Howell (1973). Some comments on spectral representations of non-stationary stochastic processes. Journal of Applied Probability, 10, 881-885.

Tong, Howell (1977). Some comments on the Canadian Lynx data with discussion. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 140(4), 432-436.

Tong, Howell (1999). Some recent nonparametric tools for time series data analysis. Bulletin of the International Statistical Institute, 53rd s(Tome 5), 387-390.

Tong, Howell (1988). Special issue on 'Statistical forecasting and decision-making'. Journal of the Royal Statistical Society. Series D: The Statistician, 37(2), 99-241.

Tong, Howell (1981). A note on a Markov bilinear stochastic process in discrete time. Journal of Time Series Analysis, 2(4), 279-284. https://doi.org/10.1111/j.1467-9892.1981.tb00326.x

Tong, Howell (1979). A note on a local equivalence of two recent approaches to autoregressive order determination. International Journal of Control, 29(3), 441-446. https://doi.org/10.1080/00207177908922709

Tong, Howell (1983). A note on delayed autoregressive process in continuous time. Biometrika, 70(3), 710-712. https://doi.org/10.1093/biomet/70.3.710

Tong, Howell (1988). A note on local parameter orthogonality and Levinson-Durbin algorithm. Biometrika, 75(4), 788-789. https://doi.org/10.1093/biomet/75.4.788

Tong, Howell (1982). A note on using threshold autoregressive models for multi-step-ahead prediction of cyclical data. Journal of Time Series Analysis, 3(2), 137-140. https://doi.org/10.1111/j.1467-9892.1982.tb00335.x

Tong, Howell (2001). A personal journey through time series in Biometrika. Biometrika, 88(1), 195-218. https://doi.org/10.1093/biomet/88.1.195

Tong, Howell, Chan, K.S (2004). A note on testing for multi-modality with dependent data. Biometrika, 91(1), 113-123. https://doi.org/10.1093/biomet/91.1.113

Tong, Howell, Chan, K.S (2002). A note on the equivalence of two approaches for specifying a Markov process. Bernoulli, 8(1), 117-122.

Tong, Howell, Chan, W-Y T (1975). A simulation study of the estimation of evolutionary spectral functions. Journal of the Royal Statistical Society. Series C: Applied Statistics, 24(3), 334-341.

Tong, Howell, Cheng, Bing (1998). K-stationarity and wavelets. Journal of Statistical Planning and Inference, 68(1), 129-144. https://doi.org/10.1016/S0378-3758(97)00138-9

Tong, Howell, Gates, P (1976). On Markov chain modelling to some weather data. Journal of Applied Meteorology, 15(11), 1145-1151. https://doi.org/10.1175/1520-0450(1976)015<1145:OMCMTS>2.0.CO;2

Tong, Howell, Ghaddar, D K (1981). Data transformation and self-exciting threshold autoregression. Journal of the Royal Statistical Society. Series C: Applied Statistics, 30, 238-248.

Tong, Howell, Hua, L K (1982). Some personal experiences in popularising mathematical methods in the People's Republic of China. International Journal of Mathematical Education in Science and Technology, 13(4), 371-386. https://doi.org/10.1080/0020739820130401

Tong, Howell, Lim, K S (1980). Threshold autoregression, limit cycles and cyclical data- with discussion. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 42(3), 245-292.

Tong, Howell, Ling, S (2007). Ergodicity and invertibility of threshold MA models. Bernoulli, 13(1), 161-168. https://doi.org/10.3150/07-BEJ5147

Tong, Howell, Ling, S (2005). Testing for a linear MA model against threshold MA models. Annals of Statistics, 33(6), 2529-2552. https://doi.org/10.1214/009053605000000598

Tong, Howell, Matsuda, Y, Yajima, Y (2006). Selecting models with different spectral density matrix structure by the cross-validated log likelihood criterion. Bernoulli, 12(2), 221-249. https://doi.org/10.3150/bj/1145993973

Tong, Howell, Pan, Jiazhu, Wang, Hui (2008). Estimation and tests for power-transformed and threshold GARCH models. Journal of Econometrics, 142(1), 352-378. https://doi.org/10.1016/j.jeconom.2007.06.004

Tong, Howell, Pemberton, J (1980). On stability and limit cycles of non-linear autoregression in discrete time. Cahiers du Centre d'études de Recherche Opérationnelle, 22(2), 137-148.

Tong, Howell, Siu, T.K, Yang, H (2004). On Bayesian value at risk: from linear to non-linear portfolios. Asian Pacific Financial Markets, 11(2), 161-184. https://doi.org/10.1007/s10690-006-9008-7

Tong, Howell, Siu, T.K, Yang, H (2004). On pricing derivatives under GARCH models: a dynamic Gerber-Shiu approach. North American Actuarial Journal, 8, 17-31.

Tong, Howell, Stockis, J-P (1998). On the statistical inference of a machine generated autoregressive AR(1) model. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 60(4), 781-796. https://doi.org/10.1111/1467-9868.00154

Tong, Howell, Subba Rao, T (1974). Linear time-dependent systems. IEEE Transactions on Automatic Control, 19(6), 730-734.

Tong, Howell, Sun, Y, Zhang, W (2007). Estimation of the covariance matrix of random effects in longitudinal studies. Annals of Statistics, 35(6), 2795-2814. https://doi.org/10.1214/009053607000000523

Tong, Howell, Thanoon, B, Gudmundsson, G (1985). Threshold time series modelling of two Icelandic riverflow systems. Water Resources Bulletin, 21(4), 651-661. https://doi.org/10.1111/j.1752-1688.1985.tb05380.x

Tong, Howell, Wang, S.R, An, H.Z (1983). On the distribution of a simple stationary bilinear process. Journal of Time Series Analysis, 4(3), 209-216. https://doi.org/10.1111/j.1467-9892.1983.tb00369.x

Tong, Howell, Xia, Y (2006). Cumulative effects of air pollution on public health. Statistics in Medicine, 25(20), 3548-3559. https://doi.org/10.1002/sim.2446

Tong, Howell, Xia, Y, Li, W.K (2007). Threshold variable selection using nonparametric methods. Statistica Sinica, 17(1), 265-288.

Tong, Howell, Xia, Y, Zhang, W (2004). Efficient estimation for semivarying-coefficient models. Biometrika, 91(3), 661-681. https://doi.org/10.1093/biomet/91.3.661

Tong, Howell, Xia, Y, Zhu, L (2002). An adaptive estimation of dimension reduction space, with discussion. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 64(3), 363-410. https://doi.org/10.1111/1467-9868.03411

Tong, Howell, Yang, Hailiang (2001). Contribution to the discussion of paper read to the Royal Statistical Society: O. Barndorff-Nielsen, N. Shepperd. "Non-Gaussian Ornstein-Uhlenbeck-based models and some of their uses in financial economics". Journal of the Royal Statistical Society. Series B: Statistical Methodology, 63(2), 232-233. https://doi.org/10.1111/1467-9868.00282

Tong, Howell, Yeung, I (1991). On tests for self-exciting threshold autoregressive-type nonlinearity in partially observed time series. Journal of Applied Statistics, 40(1), 43-62.

Tong, Howell, Yeung, I (1990). On tests for threshold-type non-linearity in irregularly space time series. Journal of Statistical Computation and Simulation, 34(4), 177-194. https://doi.org/10.1080/00949659008811226

Tong, Howell, Yeung, I (1991). Threshold autoregressive modelling in continuous time. Statistica Sinica, 1(2), 411-430.

Tong, Howell, Zhang, Z (2005). On time-reversibility of multivariate linear processes. Statistica Sinica, 15(2), 495-504.

Tong, Howell, Zhang, Z (2004). A note on stochastic difference equations and its application to GARCH models. Chinese Journal of Applied Probability and Statistics, 20, 259-269.

Tong, Howell, Zhang, Zhiqiang (2001). On some distributional properties of a first order non-negative bilinear time series model. Journal of Applied Probability, 38(3), 659 -671. https://doi.org/10.1239/jap/1005091030

Tong, Howell, Yao, Qiwei (1998). Cross-validatory bandwidth selection for regression estimation based on dependent data. Journal of Statistical Planning and Inference, 68(2), 387-415. https://doi.org/10.1016/S0378-3758(97)00151-1

Tong, Howell, Yao, Qiwei (2000). Nonparametric estimation of ratios of noise to signal in stochastic regression. Statistica Sinica, 10(3), 751-770.

Tong, Howell, Yao, Qiwei (1994). On prediction and chaos in stochastic systems. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 348(1688), 357-369. https://doi.org/10.1098/rsta.1994.0096

Torti, Francesca, Perrotta, Domenico, Atkinson, Anthony C., Riani, Marco (2012). Benchmark testing of algorithms for very robust regression: FS, LMS and LTS. Computational Statistics and Data Analysis, 56(8), 2501-2512. https://doi.org/10.1016/j.csda.2012.02.003

Torti, Francesca, Corbellini, Aldo, Atkinson, Anthony C. (2021). fsdaSAS: a package for robust regression for very large datasets including the batch forward search. Stats, 4(2), 327 – 347. https://doi.org/10.3390/stats4020022 picture_as_pdf

Tsionas, Efthymios G., Tran, Kien C., Michaelides, Panayotis G. (2017). Bayesian inference in threshold stochastic frontier models. Empirical Economics, https://doi.org/10.1007/s00181-017-1364-9

Tsionas, Mike G., Michaelides, Panayotis G. (2017). Neglected chaos in international stock markets: Bayesian analysis of the joint return–volatility dynamical system. Physica A: Statistical Mechanics and Its Applications, 482, 95-107. https://doi.org/10.1016/j.physa.2017.04.060

Tu, Yundong, Yao, Qiwei, Zhang, Rongmao (2020). Error-correction factor models for high-dimensional cointegrated time series. Statistica Sinica, 30(3), 1463 - 1484. https://doi.org/10.5705/ss.202017.0250 picture_as_pdf

Turner, Gosia, Sturgis, Patrick, Martin, David (2015). Can response latencies be used to detect survey satisficing on cognitively demanding questions? Journal of Survey Statistics and Methodology, 3(1), 89 - 108. https://doi.org/10.1093/jssam/smu022

Tzougas, George, Pignatelli di Cerchiara, Alice (2021). The multivariate mixed Negative Binomial regression model with an application to insurance a posteriori ratemaking. Insurance: Mathematics and Economics, 101, 602-625. https://doi.org/10.1016/j.insmatheco.2021.10.001

Tzougas, George (2020). EM estimation for the Poisson-Inverse Gamma regression model with varying dispersion: an application to insurance ratemaking. Risks, 8(3), 1-23. https://doi.org/10.3390/risks8030097 picture_as_pdf

Tzougas, George, Hong, Natalia, Ho, Ryan (2022). Mixed poisson regression models with varying dispersion arising from non-conjugate mixing distributions. Algorithms, 15(1). https://doi.org/10.3390/a15010016 picture_as_pdf

Tzougas, George, Jeong, Himchan (2021). An expectation-maximization algorithm for the exponential-generalized inverse Gaussian regression model with varying dispersion and shape for modelling the aggregate claim amount. Risks, 9(1), 1-17. https://doi.org/10.3390/risks9010019 picture_as_pdf

Tzougas, George, Karlis, Dimitris (2020). An EM algorithm for fitting a new class of mixed exponential regression models with varying dispersion. ASTIN Bulletin, 50(2), 555 - 583. https://doi.org/10.1017/asb.2020.13 picture_as_pdf

Tzougas, George, Karlis, Dimitris, Frangos, Nicholas (2017). Confidence intervals of the premiums of optimal Bonus Malus Systems. Scandinavian Actuarial Journal, 2018(2), 129-144. https://doi.org/10.1080/03461238.2017.1307267

Tzougas, George, Vrontos, Spyridon D., Frangos, Nickolaos E. (2015). Risk classification for claim counts and losses using regression models for location, scale and shape. Variance, 9(1), 140-157.

Tzougas, George, Vrontos, Spyridon, Frangos, Nicholas (2018). Bonus-Malus systems with two component mixture models arising from different parametric families. North American Actuarial Journal, https://doi.org/10.1080/10920277.2017.1368398

Tzougas, George, Vrontos, Spyridon, Frangos, Nicholas (2014). Optimal Bonus-Malus Systems using finite mixture models. ASTIN Bulletin, 44(2), 417-444. https://doi.org/10.1017/asb.2013.31

Tzougas, George, di Cerchiara, Alice Pignatelli (2021). Bivariate mixed Poisson regression models with varying dispersion. North American Actuarial Journal, https://doi.org/10.1080/10920277.2021.1978850 picture_as_pdf

Uehara, Masatoshi, Shi, Chengchun, Kallus, Nathan (2025). A review of off-policy evaluation in reinforcement learning. Statistical Science, [In Press] picture_as_pdf

Uher, Jana (2022). Functions of units, scales and quantitative data: fundamental differences in numerical traceability between sciences. Quality and Quantity, 56(4), 2519 - 2548. https://doi.org/10.1007/s11135-021-01215-6 picture_as_pdf

Vamvourellis, Konstantinos, Kalogeropoulos, Konstantinos, Moustaki, Irini (2023). Assessment of generalised Bayesian structural equation models for continuous and binary data. British Journal of Mathematical and Statistical Psychology, 76(3), 559 - 584. https://doi.org/10.1111/bmsp.12314 picture_as_pdf

Varga-Haszonits, Istvan, Caccioli, Fabio, Kondor, Imre (2016). Replica approach to mean-variance portfolio optimization. Journal of Statistical Mechanics: Theory and Experiment, 2016(Dec.). https://doi.org/10.1088/1742-5468/aa4f9c

Vasdekis, Vassilis G. S., Cagnone, Silvia, Moustaki, Irini (2012). A composite likelihood inference in latent variable models for ordinal longitudinal responses. Psychometrika, 77(3), 425-441. https://doi.org/10.1007/s11336-012-9264-6

Vasdekis, Vassilis G. S., Rizopoulos, Dimitris, Moustaki, Irini (2014). Weighted pairwise likelihood estimation for a general class of random effects models. Biostatistics, 15(4), 677 - 689. https://doi.org/10.1093/biostatistics/kxu018

Vedres, Balázs, Stark, David (2010). Structural folds: generative disruption in overlapping groups1. American Journal of Sociology, 115(4), 1150-1190. https://doi.org/10.1086/649497

Velasco, C, Robinson, Peter (2000). Whittle pseudo-maximum likelihood estimation for nonstationary time series. Journal of the American Statistical Association, 95(452), 1229 - 1243. https://doi.org/10.1080/01621459.2000.10474323

Vidal-Tomás, David, Briola, Antonio, Aste, Tomaso (2023). FTX's downfall and Binance's consolidation: the fragility of centralised digital finance. Physica A, 625, https://doi.org/10.1016/j.physa.2023.129044 picture_as_pdf

Vieira, Marcel D.T., Skinner, Chris J. (2008). Estimating models for panel survey data under complex sampling. Journal of Official Statistics, 24(3), 343-364.

Vitoratou, Silia, Ntzoufras, Ioannis, Moustaki, Irini (2014). Marginal likelihood estimation from the Metropolis output: tips and tricks for efficient implementation in generalized linear latent variable models. Journal of Statistical Computation and Simulation, 84(10), 2091-2105. https://doi.org/10.1080/00949655.2013.783580

Vitoratou, Silia, Ntzoufras, Ioannis, Moustaki, Irini (2016). Explaining the behavior of joint and marginal Monte Carlo estimators in latent variable models with independence assumptions. Statistics and Computing, 26(1), 333-348. https://doi.org/10.1007/s11222-014-9495-8

Vojnovic, Milan (2017). Contest theory. Communications of the ACM, 60(5), 70-80. https://doi.org/10.1145/3012008

Vojnovic, Milan, Yun, Seyoung (2016). Parameter estimation for generalized thurstone choice models. Proceedings of Machine Learning Research, 48, 498-506.

Vojnović, Milan, Yun, Se-young, Zhou, Kaifang (2023). Accelerated MM algorithms for inference of ranking scores from comparison data. Operations Research, 71(4), 1318 - 1342. https://doi.org/10.1287/opre.2022.2264

Volodina, Victoria, Sonenberg, Nikki, Wheatcroft, Edward, Wynn, Henry (2022). Majorization as a theory for uncertainty. International Journal for Uncertainty Quantification, 12(5), 23 - 45. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2022035476

Volodina, Victoria, Wheatcroft, Edward, Wynn, Henry (2022). Comparing district heating options under uncertainty using stochastic ordering. Sustainable Energy, Grids and Networks, 30, https://doi.org/10.1016/j.segan.2022.100634 picture_as_pdf

Vrugt, Jasper A., Beven, Keith J. (2018). Embracing equifinality with efficiency : limits of acceptability sampling using the DREAM(LOA) algorithm. Journal of Hydrology, 559, 954-971. https://doi.org/10.1016/j.jhydrol.2018.02.026

Wade, Robert H. (2014). Market versus state or market with state: how to impart directional thrust. Development and Change, 45(4), 777-798. https://doi.org/10.1111/dech.12099

Waldinger, Fabian (2016). Bombs, brains, and science: the role of human and physical capital for the creation of scientific knowledge. Review of Economics and Statistics, 98(5), 811 - 831. https://doi.org/10.1162/REST_a_00565

Wallin, Gabriel, Chen, Yunxiao, Lee, Yi-Hsuan, Li, Xiaoou (2025). A latent variable model with change-points and its application to time pressure effects in educational assessment. Annals of Applied Statistics, 19(3), 2490 - 2516. https://doi.org/10.1214/25-aoas2052 picture_as_pdf

Wallin, Gabriel, Chen, Yunxiao, Moustaki, Irini (2024). DIF analysis with unknown groups and anchor items. Psychometrika, 89(1), 267 - 295. https://doi.org/10.1007/s11336-024-09948-7 picture_as_pdf

Wallin, Gabriel, Wiberg, Marie (2023). Model misspecification and robustness of observed-score test equating using propensity scores. Journal of Educational and Behavioral Statistics, 48(5), 603 - 635. https://doi.org/10.3102/10769986231161575 picture_as_pdf

Wang, Duolao, Murphy, Michael J. (2004). Estimating optimal transformations for multiple regression using ACE algorithm. Journal of Data Science, 2(4), 329-346.

Wang, Jiayi, Qi, Zhengling, Shi, Chengchun (2025). Blessing from human-AI interaction: super policy learning in confounded environments. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2025.2574706 [In Press] picture_as_pdf

Wang, Ruoyu, Cao, Mengqiu, Yao, Yao, Wu, Wenjie (2022). The inequalities of different dimensions of visible street urban green space provision: a machine learning approach. Land Use Policy, 123, https://doi.org/10.1016/j.landusepol.2022.106410 picture_as_pdf

Wang, Tengyao (2026). Proposer of the vote of thanks to Whiteley et al. and contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’. Journal of the Royal Statistical Society. Series B: Statistical Methodology, https://doi.org/10.1093/jrsssb/qkag002 [In Press] picture_as_pdf

Wang, Tengyao, Dobriban, Edgar, Gataric, Milana, Samworth, Richard J. (2024). Sharp-SSL: selective high-dimensional axis-aligned random projections for semi-supervised learning. Journal of the American Statistical Association, 120(549), 395 - 407. https://doi.org/10.1080/01621459.2024.2340792 picture_as_pdf

Wang, Weichen, Shi, Chengchun (2025). From authors to reviewers: leveraging rankings to improve peer review. Journal of the American Statistical Association, [In Press] picture_as_pdf

Wang, Xueqin, Zhu, Jin, Pan, Wenliang, Zhu, Junhao, Zhang, Heping (2024). Nonparametric statistical inference via metric distribution function in metric spaces. Journal of the American Statistical Association, 119(548), 2772 - 2784. https://doi.org/10.1080/01621459.2023.2277417 picture_as_pdf

Washbrook, Elizabeth, Clarke, Paul S., Steele, Fiona (2014). Investigating non-ignorable drop-out in panel studies of residential mobility. Journal of the Royal Statistical Society. Series C: Applied Statistics, 63(2), 239-266. https://doi.org/10.1111/rssc.12028

Wen, Kaiyue, Wang, Tengyao, Wang, Yuhao (2025). Residual permutation test for regression coefficient testing. Annals of Statistics, 53(2), 724 - 748. https://doi.org/10.1214/24-aos2479 picture_as_pdf

Werndl, Charlotte, Frigg, Roman (2015). Reconceptualising equilibrium in Boltzmannian statistical mechanics and characterising its existence. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics, 49, 19-31. https://doi.org/10.1016/j.shpsb.2014.12.002 picture_as_pdf

Wheatcroft, Edward (2020). Assessing the significance of model selection in ecology. European Journal of Ecology, 6(2), 87-103. https://doi.org/10.17161/eurojecol.v6i2.13747 picture_as_pdf

Wheatcroft, Edward (2021). Evaluating probabilistic forecasts of football matches: the case against the ranked probability score. Journal of Quantitative Analysis in Sports, 17(4), 273 - 287. https://doi.org/10.1515/jqas-2019-0089 picture_as_pdf

Wheatcroft, Edward (2021). Forecasting football matches by predicting match statistics. Journal of Sports Analytics, 7(2), 77 - 97. https://doi.org/10.3233/JSA-200462 picture_as_pdf

Wheatcroft, Edward (2020). A profitable model for predicting the over/under market in football. International Journal of Forecasting, 36(3), 916 - 932. https://doi.org/10.1016/j.ijforecast.2019.11.001 picture_as_pdf

Wolff, Rodney C., Yao, Qiwei, Tong, Howell (2004). Statistical tests for Lyapunov exponents of deterministic systems. Studies in Nonlinear Dynamics and Econometrics, 8(2), 174 - 193.

Wouters, Olivier J., Kesselheim, Aaron S., Kuha, Jouni, Luyten, Jeroen (2024). Sales revenues for new therapeutic agents approved by the United States Food and Drug Administration from 1995 to 2014: a retrospective study. Value in Health, 27(10), 1373 - 1381. https://doi.org/10.1016/j.jval.2024.06.015 picture_as_pdf

Wu, Billy, Yao, Qiwei, Zhu, Shiwu (2013). Estimation in the presence of many nuisance parameters: composite likelihood and plug-in likelihood. Stochastic Processes and Their Applications, 123(7), 2877-2896. https://doi.org/10.1016/j.spa.2013.03.017

Wu, Guojun, Song, Ge, Lv, Xiaoxiang, Luo, Shikai, Shi, Chengchun, Zhu, Hongtu (2023). DNet: distributional network for distributional individualized treatment effects. Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023, 5215 - 5224. https://doi.org/10.1145/3580305.3599809 picture_as_pdf

Wynn, Henry, Ograjensek, Irena (2010). Is statistics becoming the number one discipline for business and industry? Quality and Reliability Engineering International, 26(8), 789-793. https://doi.org/10.1002/qre.1152

Xia, Yingcun, Tong, Howell, Li, W K, Zhu, Li-Xing (2000). On the estimation of an instantaneous transformation for time series. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 62(2), 383-397. https://doi.org/10.1111/1467-9868.00238

Xia, Yingcun, Tong, Howell, Li, W. K. (2002). Single-index volatility models and estimation. Statistica Sinica, 12(3), 785-799.

Xia, Senmao, Ling, Yantao, de Main, Leanne, Lim, Ming K., Li, Gendao, Zhang, Peter, Cao, Mengqiu (2022). Creating a low carbon economy through green supply chain management: investigation of willingness-to-pay for green products from a consumer’s perspective. International Journal of Logistics Research and Applications, https://doi.org/10.1080/13675567.2022.2115988 picture_as_pdf

Xie, Zilong, Chen, Yunxiao, von Davier, Matthias, Weng, Haolei (2023). Variable selection in latent variable models via knockoffs: an application to international large-scale assessment in education. Journal of the Royal Statistical Society. Series A: Statistics in Society, https://doi.org/10.1093/jrsssa/qnad137 picture_as_pdf

Xing, Hao (2012). On backward stochastic differential equations and strict local martingales. Stochastic Processes and Their Applications, 122(6), 2265-2291. https://doi.org/10.1016/j.spa.2012.03.003

Xing, Hao (2017). Stability of the exponential utility maximization problem with respect to preferences. Mathematical Finance, 27(1), 38-67. https://doi.org/10.1111/mafi.12073

Xing, Hao, Žitković, Gordan (2018). A class of globally solvable Markovian quadratic BSDE systems and applications. Annals of Probability, 46(1), 491-550. https://doi.org/10.1214/17-AOP1190 picture_as_pdf

Xu, Mengshan, Otsu, Taisuke (2020). Score estimation of monotone partially linear index model. Journal of Nonparametric Statistics, 32(4), 838-863. https://doi.org/10.1080/10485252.2020.1834105 picture_as_pdf

Xu, Xiuqin, Chen, Ying, Goude, Yannig, Yao, Qiwei (2021). Day-ahead probabilistic forecasting for French half-hourly electricity loads and quantiles for curve-to-curve regression. Applied Energy, 301, https://doi.org/10.1016/j.apenergy.2021.117465 picture_as_pdf

Xu, Yang, Shi, Chengchun, Luo, Shikai, Wang, Lan, Song, Rui (2025). Doubly robust uncertainty quantification for quantile treatment effects in sequential decision making. Transactions on Machine Learning Research, picture_as_pdf

Yagi, Daisuke, Chen, Yining, Johnson, Andrew L., Kuosmanen, Timo (2018). Shape constrained kernel-weighted least squares: Estimating production functions for Chilean manufacturing industries. Journal of Business and Economic Statistics, 0-0. https://doi.org/10.1080/07350015.2018.1431128

Yang, Xiuleng, McCoy, Emma, Hough, Katherine, de Nazelle, Audrey (2022). Evaluation of low traffic neighbourhood (LTN) impacts on NO2 and traffic. Transportation Research Part D: Transport and Environment, 113, https://doi.org/10.1016/j.trd.2022.103536 picture_as_pdf

Yang, Xuzhi, Wang, Tengyao (2024). Multiple-output composite quantile regression through an optimal transport lens. Proceedings of Machine Learning Research, 247, 5076-5122. picture_as_pdf

Yao, Qiwei (1993). Asymptotically optimal ditiction of a change in a linear model. Sequential Analysis, 12(3-4), 201-210. https://doi.org/10.1080/07474949308836279

Yao, Qiwei (1993). Boundary crossing probabilities of some random fields related to likelihood ratio test for epidemic alternatives. Journal of Applied Probability, 30(1), 52-65.

Yao, Qiwei (2011). Discussion of "Feature matching in time series modeling" by Y. Xia and H. Tong. Statistical Science, 26(1), 57-58. https://doi.org/10.1214/11-STS345D

Yao, Qiwei (1993). Tests for change-points with epidemic alternatives. Biometrika, 80(1), 179-191. https://doi.org/10.1093/biomet/80.1.179

Yao, Qiwei, Finkenstädt, Bärbel F., Tong, Howell (2001). A conditional density approach to the order determination of time series. Statistics and Computing, 11(3), 229-240. https://doi.org/10.1023/A:1016600304293

Yao, Qiwei, Morgan, B J T (1999). Empirical transform estimation for indexed stochastic models. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 61(1), 127-141. https://doi.org/10.1111/1467-9868.00167

Yao, Qiwei (1996). Conditional boundary crossing probabilities and two-stage tests for a change-point. Scandinavian Journal of Statistics, 23(4), 511-525.

Yao, Qiwei, Brockwell, Peter J (2006). Gaussian maximum likelihood estimation for ARMA models II: spatial processes. Bernoulli, 12(4), 403-429. https://doi.org/10.3150/bj/1151525128

Yao, Qiwei, Brockwell, Peter J (2006). Gaussian maximum likelihood estimation for ARMA models. I. Time series. Journal of Time Series Analysis, 27(6), 857 - 875. https://doi.org/10.1111/j.1467-9892.2006.00492.x

Yao, Qiwei, Hyndman, Rob J. (2002). Nonparametric estimation and symmetry tests for conditional density functions. Journal of Nonparametric Statistics, 14(3), 259-278. https://doi.org/10.1080/10485250212374

Yao, Qiwei, Polonik, Wolfgang (2002). Set-indexed conditional empirical and quantile processes based on dependent data. Journal of Multivariate Analysis, 80(2), 234-255. https://doi.org/10.1006/jmva.2001.1988

Yao, Qiwei, Tong, Howell (1996). Asymmetric least squares regression estimation: a nonparametric approach. Journal of Nonparametric Statistics, 6(2-3), 273-292. https://doi.org/10.1080/10485259608832675

Yao, Qiwei, Tong, Howell (1995). On initial-condition sensitivity and prediction in nonlinear stochastic systems. Bulletin of the International Statistical Institute, 50(4), 395-412.

Yao, Qiwei, Tong, Howell (1994). On subset selection in non-parametric stochastic regression. Statistica Sinica, 4(1), 51-70.

Yao, Qiwei, Tong, Howell (1994). Quantifying the influence of initial values on nonlinear prediction. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 56(4), 701-725.

Yao, Qiwei, Tong, Howell (1998). A bootstrap detection for operational determinism. Physica D: Nonlinear Phenomena, 115(1/2), 49-58. https://doi.org/10.1016/S0167-2789(97)00228-5

Yao, Qiwei, Tong, Howell, Finkenstädt, Bärbel, Stenseth, Nils Chr (2000). Common structure in panels of short time series. Proceedings of the Royal Society: B Biological Sciences, 267(1460), 2459-2467. https://doi.org/10.1098/rspb.2000.1306

Yao, Qiwei, Yang, Wengyan, Tong, Howell (2001). Bootstrap estimation of actual significance levels for tests based on estimated nuisance parameters. Statistics and Computing, 11(4), 367-371. https://doi.org/10.1023/A:1011977221590

Yi, Jialin, Vojnović, Milan (2023). On regret-optimal cooperative nonstochastic multi-armed bandits. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, 2023-M, 1329-1335. https://doi.org/10.5555/3545946.3598780

Young, Alwyn (1995). The tyranny of numbers: confronting the statistical realities of the East Asian growth experience. Quarterly Journal of Economics, 110(3), 641-680. https://doi.org/10.2307/2946695

Young, Caroline, Martin, David, Skinner, Chris J. (2009). Geographically intelligent disclosure control for flexible aggregation of census data. International Journal of Geographical Information Science, 23(4), 457-482. https://doi.org/10.1080/13658810801949835

Yousefi, Elham, Pronzato, Luc, Hainy, Markus, Müller, Werner G., Wynn, Henry P. (2023). Discrimination between Gaussian process models: active learning and static constructions. Statistical Papers, 64(4), 1275 - 1304. https://doi.org/10.1007/s00362-023-01436-x picture_as_pdf

Youssef, Noha, Wynn, Henry (2019). A discussion on adaptive designs for computer experiments. Sequential Analysis, 38(3), 400 - 410. https://doi.org/10.1080/07474946.2019.1648932

Yuen, Christine, Fryzlewicz, Piotr (2022). Exploiting disagreement between high-dimensional variable selectors for uncertainty visualization. Journal of Computational and Graphical Statistics, 31(2), 351 - 359. https://doi.org/10.1080/10618600.2021.2000421 picture_as_pdf

Zhang, Wen, Dunkley, Andrew, Kanabar, Urvi, Elliott, David, Wynn, Henry P. (2022). A decision support system for liability in civil litigation: a case study from an insurance company. Annals of Operations Research, 315(2), 695 - 706. https://doi.org/10.1007/s10479-020-03905-0

Zhang, Wenyang, Steele, Fiona (2004). A semiparametric multilevel survival model. Journal of the Royal Statistical Society. Series C: Applied Statistics, 53(2). https://doi.org/10.1111/j.1467-9876.2003.05056.x

Zhang, Bo, Hao, Sixing, Yao, Qiwei (2025). Blind source separation over space: an eigenanalysis approach. Statistica Sinica, 35, 2373 - 2390. https://doi.org/10.5705/ss.202023.0157 picture_as_pdf

Zhang, Bo, Pan, Guangming, Yao, Qiwei, Wang, Jian-Zhou (2023). Factor modelling for clustering high-dimensional time series. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2023.2183132 picture_as_pdf

Zhang, Haoran, Chen, Yunxiao, Li, Xiaoou (2020). A note on exploratory item factor analysis by singular value decomposition. Psychometrika, 85(2), 358 - 372. https://doi.org/10.1007/s11336-020-09704-7 picture_as_pdf

Zhang, Junyi, Dassios, Angelos (2025). Posterior sampling from truncated Ferguson-Klass representation of normalised completely random measure mixtures. Bayesian Analysis, 20(3), 795 - 825. https://doi.org/10.1214/24-BA1421 picture_as_pdf

Zhang, Junyi, Dassios, Angelos (2023). Truncated Poisson-Dirichlet approximation for Dirichlet process hierarchical models. Statistics and Computing, picture_as_pdf

Zhang, Junyi, Dassios, Angelos (2023). Truncated two-parameter Poisson-Dirichlet approximation for Pitman-Yor process hierarchical models. Scandinavian Journal of Statistics, https://doi.org/10.1111/sjos.12688 picture_as_pdf

Zhang, Junyi, Dassios, Angelos, Zhong, Chong, Yao, Qiufei (2025). Truncated inverse-Lévy measure representation of the beta process. Proceedings of Machine Learning Research, 258, 1720-1728. picture_as_pdf

Zhang, Peng, Qiu, Zhenguo, Shi, Chengchun (2016). simplexreg: an R package for regression analysis of proportional data using the simplex distribution. Journal of Statistical Software, 71(11). https://doi.org/10.18637/jss.v071.i11 picture_as_pdf

Zhang, Pengcheng, Chen, Zezhun, Tzougas, George, Calderín–Ojeda, Enrique, Dassios, Angelos, Wu, Xueyuan (2025). Multivariate zero-inflated INAR(1) model with an application in automobile insurance. North American Actuarial Journal, 29(2), 310 - 328. https://doi.org/10.1080/10920277.2024.2381726 picture_as_pdf

Zhang, Rongmao, Robinson, Peter, Yao, Qiwei (2019). Identifying cointegration by eigenanalysis. Journal of the American Statistical Association, 114(526), 916 - 927. https://doi.org/10.1080/01621459.2018.1458620

Zhang, Siliang, Chen, Yunxiao (2022). Computation for latent variable model estimation: a unified stochastic proximal framework. Psychometrika, 87(4), 1473 - 1502. https://doi.org/10.1007/s11336-022-09863-9 picture_as_pdf

Zhang, Siliang, Chen, Yunxiao (2024). A note on Ising network analysis with missing data. Psychometrika, 89(4), 1186 - 1202. https://doi.org/10.1007/s11336-024-09985-2 picture_as_pdf

Zhang, Siliang, Kuha, Jouni, Steele, Fiona (2024). Modelling correlation matrices in multivariate data, with application to reciprocity and complementarity of child-parent exchanges of support. Annals of Applied Statistics, 18(4), 3024 - 3049. https://doi.org/10.1214/24-AOAS1921 picture_as_pdf

Zhang, Wen, Shi, Jingwen, Wang, Xiaojun, Wynn, Henry (2023). AI-powered decision-making in facilitating insurance claim dispute resolution. Annals of Operations Research, https://doi.org/10.1007/s10479-023-05631-9 picture_as_pdf

Zhang, Wenyang, Yao, Qiwei, Tong, Howell, Stenseth, Nils Chr (2003). Smoothing for spatiotemporal models and its application to modeling Muskrat-Mink interaction. Biometrics, 59(4), 813-821. https://doi.org/10.1111/j.0006-341X.2003.00095.x

Zhang, Xinyu, Li, Dong, Tong, Howell (2023). On the least squares estimation of multiple-threshold-variable autoregressive models. Journal of Business and Economic Statistics, https://doi.org/10.1080/07350015.2023.2174124 picture_as_pdf

Zhang, Xinyu, Tong, Howell (2022). Asymptotic theory of principal component analysis for time series data with cautionary comments. Journal of the Royal Statistical Society. Series A: Statistics in Society, 185(2), 543 - 565. https://doi.org/10.1111/rssa.12793 picture_as_pdf

Zhang, Yingying, Shi, Chengchun, Luo, Shikai (2023). Conformal off-policy prediction. Proceedings of Machine Learning Research, 206, 2751-2768. picture_as_pdf

Zhou, Yunzhe, Qi, Zhengling, Shi, Chengchun, Li, Lexin (2023). Optimizing pessimism in dynamic treatment regimes: a Bayesian learning approach. Proceedings of Machine Learning Research, 206, picture_as_pdf

Zhou, Yunzhe, Shi, Chengchun, Li, Lexin, Yao, Qiwei (2023). Testing for the Markov property in time series via deep conditional generative learning. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 85(4), 1204 - 1222. https://doi.org/10.1093/jrsssb/qkad064 picture_as_pdf

Zhu, Nina, Wang, Yuqing, Yang, Shuwen, Lyu, Lixing, Gong, Kunyao, Huang, Xinyue, Huang, Siyi (2024). Structure characteristics and formation mechanism of the RCEP manufacturing trade network: an ERGM analysis. Physica A: Statistical Mechanics and Its Applications, 635, https://doi.org/10.1016/j.physa.2023.129488

Zhu, Jin, Wan, Runzhe, Qi, Zhengling, Luo, Shikai, Shi, Chengchun (2024). Robust offline reinforcement learning with heavy-tailed rewards. Proceedings of Machine Learning Research, 238, 541 - 549. picture_as_pdf

Zhu, Yajing, Steele, Fiona, Moustaki, Irini (2017). A general 3-step maximum likelihood approach to estimate the effects of multiple latent categorical variables on a distal outcome. Structural Equation Modeling, 24(5), 643-656. https://doi.org/10.1080/10705511.2017.1324310

Zhu, Yajing, Steele, Fiona, Moustaki, Irini (2020). A multilevel structural equation model for the interrelationships between multiple latent dimensions of childhood socio‐economic circumstances, partnership transitions and mid‐life health. Journal of the Royal Statistical Society. Series A: Statistics in Society, 183(3), 1029 - 1050. https://doi.org/10.1111/rssa.12554 picture_as_pdf

Zhu, Ziwei, Wang, Tengyao, Samworth, Richard J. (2022). High-dimensional principal component analysis with heterogeneous missingness. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 84(5), 2000 - 2031. https://doi.org/10.1111/rssb.12550 picture_as_pdf

do Espirito Santo, Jonatas Silva, da Conceição, Jackson Santos, da Costa, Lilia Carolina Carneiro, Fiaccone, Rosemeire Leovigildo, Barreto, Marcos, Ichihara, Maria Yury, Ara, Anderson (2024). K-means DTW Barycenter Averaging: a clustering analysis of COVID-19 cases and deaths on the Brazilian federal units. International Journal of Data Science and Analytics, https://doi.org/10.1007/s41060-024-00542-9 picture_as_pdf

von Borzyskowski, Inken, Wahman, Michael (2018). Systematic measurement error in election violence data: causes and consequences. British Journal of Political Science, picture_as_pdf

Çetin, Umut, Larsen, Kasper (2023). Uniqueness in cauchy problems for diffusive real-valued strict local martingales. Transactions of the American Mathematical Society Series B, 10(13), 381-406. https://doi.org/10.1090/btran/141 picture_as_pdf

Çetin, Umut, Waelbroeck, Henri (2023). Power laws in market microstructure. Frontiers of Mathematical Finance, 2(1), 56 - 98. https://doi.org/10.3934/fmf.2023003 picture_as_pdf

Book

Sturgis, Patrick, Bulmer, Martin, Allum, Nick (Eds.) (2009). The secondary analysis of survey data. SAGE Publications.

Chambers, R. L., Skinner, Chris J. (Eds.) (2003). Analysis of survey data. John Wiley & Sons.

Tong, Howell (Ed.) (1995). Chaos and forecasting (nonlinear time series & chaos). World Scientific (Firm).

Tong, Howell (Ed.) (1993). Dimension estimation and models. World Scientific (Firm).

Marsden, David, Redlbacher, Lydia (Eds.) (1984). Guide to sources of wages statistics in the European Community. Statistical Office of the European Communities.

Atkinson, Anthony, Hackl, Peter, Müller, Werner (Eds.) (2001). MODA6 - advances in model-oriented data analysis and experimental design. Physica-Verlag.

Morgan, Mary S., Morrison, Margaret (Eds.) (1999). Models as mediators: perspectives on natural and social science. Cambridge University Press.

Atkinson, Anthony, Bogacka, Barbara, Zhigljavsky, Anatoly (Eds.) (2001). Optimum design: 2000. Kluwer Academic Publishers.

Chan, W.S, Li, W.K, Tong, Howell (Eds.) (2000). Statistics and finance: an interface. Imperial College Press.

Marsden, David, Legg, Wilfrid, Redlbacher, Lydia, Reid, Magdalena (Eds.) (1984). Working time statistics: methods and measurement in the European community. Statistical Office of the European Communities.

Marsden, David (Ed.) (1991). The future of European wage and labour cost statistics. Statistical Office of the European Communities.

Mennicken, Andrea, Salais, Robert (Eds.) (2022). The new politics of numbers: utopia, evidence and democracy. Palgrave Macmillan. https://doi.org/10.1007/978-3-030-78201-6 picture_as_pdf

Anderson, Christopher Johannes, Sally, David (2016). Tutti i numeri del calcio: perché tutto quello che sapevi sul calcio è sbagliato. Bruno Mondadori (Firm).

Anderson, Christopher Johannes, Sally, David (2014). The numbers game: why everything you know about football is wrong. Penguin Books.

Atkinson, Anthony, Riani, Marco (2000). Robust diagnostic regression analysis. Springer Berlin / Heidelberg.

Atkinson, Anthony B. (2008). The changing distribution of earnings in OECD countries. Oxford University Press.

Bartholomew, David J., Knott, Martin, Moustaki, Irini (2011). Latent variable models and factor analysis: a unified approach. John Wiley & Sons.

Bartholomew, David J., Steele, Fiona, Galbraith, J, Moustaki, Irini (2008). Analysis of multivariate social science data. CRC Press.

Bergsma, Wicher P, Croon, Marcel, Hagenaars, Jacques A. (2009). Marginal models for dependent, clustered, and longitudinal categorical data. Springer Berlin / Heidelberg.

Bergsma, Wicher P. (1997). Marginal models for categorical data. Tilburg University Press.

Bradley, Richard (2017). Decision theory with a human face. Cambridge University Press. https://doi.org/10.1017/9780511760105

Fan, Jianqing, Yao, Qiwei (2003). Nonlinear time series: nonparametric and parametric methods. Springer Berlin / Heidelberg.

Frigg, Roman, Werndl, Charlotte (2024). Foundations of statistical mechanics. Cambridge University Press. https://doi.org/10.1017/9781009022798 picture_as_pdf

Galbraith, J. I., Bartholomew, David J., Moustaki, Irini, Steele, Fiona (2002). The analysis and interpretation of multivariate data for social scientists. CRC Press.

Gibilisco, Paolo, Riccomagno, Eva, Rogantin, Maria Piera, Wynn, Henry P. (2009). Algebraic and geometric methods in statistics. Cambridge University Press.

Hawes, W. R., Hakim, Catherine (1982). Labour force and income statistics: text for course D291 Statistical Sources. Open University.

Howlett, Peter (1995). Fighting with figures: statistical digest of the Second World War. Great Britain. Central Statistical Office.

Knott, Martin, Bartholomew, David J. (1999). Latent variable models and factor analysis. Edward Arnold.

Lewis, David, Wood, Geoffrey, Gregory, Rick (1996). Trading the silver seed. Practical Action (Organization).

Merchant, Kenneth A, Van der Stede, Wim A., Zoni, Laura (2013). Sistemi di controllo di gestione: misure di performance, valutazione e incentivi. Pearson (Firm).

Neumayer, Eric, Plümper, Thomas (2017). Robustness tests for quantitative research. Cambridge University Press. https://doi.org/10.1017/9781108233590

Phillips, Lawrence D. (1973). Bayesian statistics for social scientists. Thomas Nelson (Firm).

Skrondal, Anders, Rabe-Hesketh, Sophia (2004). Generalized latent variable modeling: multilevel, longitudinal and structural equation models. Chapman and Hall.

Tong, Howell (1983). Threshold models in non-linear time series analysis. Lecture notes in statistics, No.21. Springer Berlin / Heidelberg.

Tong, Howell, Chan, K.S (2001). Chaos: a statistical perspective. Springer Berlin / Heidelberg.

Chapter

Instituti i Statistikës (INSTAT) (2002). Demography of Albania: historical trends. In Popullsia e Shqipërisë 2001 . Instituti i Statistikës (Albania).

Bernoulli Society for Mathematical Statistics and Probability (1987). Non-linear time series models of regularly sampled data: a review. In Prohorov, Y. A. & Sazonov, V. V. (Eds.), Proceedings of the 1st World Congress of the Bernoulli Society : Tashkent, Ussr, 8-14 September 1986 (pp. 355-367). VNU Science Press.

Fields Institute (1997). Some comments on nonlinear time series analysis. In Voiculescu, D. (Ed.), Free Probability Theory (pp. 17-27). American Mathematical Society.

Abell, Peter (2011). Singular mechanisms and Bayesian narratives. In Demeulenaere, P. (Ed.), Analytical Sociology and Social Mechanisms . Cambridge University Press.

Alistarh, Dan, Grubic, Demjan, Liu, Jerry, Tomioka, Ryota, Vojnovic, Milan (2017). Communication-efficient stochastic gradient descent, with applications to neural networks. In Guyon, I., Luxburg, U., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S. & Garnett, R. (Eds.), Advances in Neural Information Processing Systems 30 (pp. 1707-1718). Curran Associates, Inc..

Alistarh, Dan, Iglesias, Jennifer, Vojnovic, Milan (2015). Streaming min-max hypergraph partitioning. In Cortes, C., Lawrence, N., Lee, D., Sugiyama, M. & Garnett, R. (Eds.), Advances in Neural Information Processing Systems 28 (pp. 1900-1908). Curran Associates, Inc..

Alpern, Steve, Fokkink, Robbert, Lindelauf, Roy, Olsder, Geert Jan (2009). A numerical approach to the ‘Princess and Monster’ game on an interval. In Bernhard, P., Gaitsgory, V. & Pourtallier, O. (Eds.), Advances in Dynamic Games and Their Applications (pp. 149-157). Birkhaeuser Verlag AG. https://doi.org/10.1007/978-0-8176-4834-3_9

Atkinson, Anthony C., Cerioli, Andrea, Morelli, Gianluca, Riani, Marco (2015). Finding the number of disparate clusters with background contamination. In Lausen, B., Krolak-Schwerdt, S. & Böhmer, M. (Eds.), Data Science, Learning by Latent Structures, and Knowledge Discovery (pp. 29-42). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-3-662-44983-7 picture_as_pdf

Barrieu, P., El Karoui, N. (2008). Dynamic financial risk management. In Yor, M. (Ed.), Aspects of Mathematical Finance (pp. 23-36). Springer Berlin / Heidelberg.

Bergsma, Wicher, Croon, Marcel (2005). Analyzing categorical data by marginal models. In van der Ark, L. (Ed.), New Developments in Categorical Data Analysis for the Social and Behavioral Sciences (pp. 83-101). Psychology Press.

Bergsma, Wicher, Rudas, Tamas (2002). Variation independent parameterizations of multivariate categorical distributions. In Cuadras, C., Fortiana, J. & Rodriguez-Lallena, J. (Eds.), Distributions With Given Marginals and Statistical Modelling (pp. 21-28). Kluwer Academic Publishers.

Bevan, Gwyn (2004). Qualitaetsberichterstattung in England seit 1997. In Schellschmidt, H., Klauber, J. & Robra, B. P. (Eds.), Krankenhaus-Report 2004 (pp. 95-110). Schattauer Verlag.

Bingham, N. H. (2009). Five questions. In Hajek, A. & Hendricks, V. F. (Eds.), Probability and Statistics: 5 Questions (pp. 1-11). Automatic/ VIP Press.

Bonnier, Patric, Oberhauser, Harald, Szabo, Zoltan (2023). Kernelized cumulants: beyond kernel mean embeddings. In Advances in Neural Information Processing Systems 36 . Curran Associates, Inc.. picture_as_pdf

Bynum, Lucius E.J., Loftus, Joshua R., Stoyanovich, Julia (2024). A new paradigm for counterfactual reasoning in fairness and recourse. In Larson, K. (Ed.), Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (pp. 7092-7100). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2024/784 picture_as_pdf

Cai, Hengrui, Shi, Chengchun, Song, Rui, Lu, Wenbin (2021). Deep jump learning for off-policy evaluation in continuous treatment settings. In Proceedings of the 35th Conference on Neural Information Processing Systems . picture_as_pdf

Cartwright, Nancy (2011). Predicting “it will work for us”: (way) beyond statistics. In McKay Illari, P., Russo, F. & Williamson, J. (Eds.), Causality in the Sciences . Oxford University Press.

Chan, K S, Moeanaddin, R, Tong, Howell (1992). Likelihood plots, influential data and reparametrization in nonlinear time series modelling. In Chao, M. & Cheng, P. E. (Eds.), Proceedings of 1990 Taipei Symposium in Statistics (pp. 37-62). Institute of Statistical Science, Academia Sinica.

Chan, K S, Tong, Howell (2002). Dynamic model. In El-Shaarawi, A. H. & Piegorsch, W. W. (Eds.), Encyclopaedia of Environmetrics (pp. 574-578). John Wiley & Sons.

Chan, K.S, Tong, Howell (1989). A survey of the statistical analysis of univariate threshold autoregressive models. In Mariano, R. (Ed.), Advances in Statistical Analysis and Statistical Computing: Advances in Statistical Analysis and Statistical Computing (pp. 1-42). JAI Press.

Cheng, B, Tong, Howell (2000). Interval prediction of financial time series. In Chan, K., Li, W. & Tong, H. (Eds.), Statistics and Finance: an Interface (pp. 245-260). Imperial College Press.

Cheng, B, Tong, Howell (1993). Nonparametric function estimation in noisy chaos. In Rao, T. (Ed.), Developments in Time Series Analysis: in Honour of Maurice B.Priestley (pp. 183-206). Chapman and Hall.

Cheng, B, Tong, Howell (1996). On delay co-ordinates in stochastic dynamical systems. In van Strien, S. & Verduyn Lunel, S. (Eds.), Stochastic and Spatial Structures of Dynamical Systems (pp. 29-37). North-Holland Publishing Company.

Cheng, B, Tong, Howell (1996). A theory of wavelet representation and decomposition for a general stochastic process. In Robinson, P. & Rosenblatt, M. (Eds.), Athens Conference on Applied Probability and Time Series: Time Series Analysis in Memory of E.J. Hannan (pp. 115-129). Springer Berlin / Heidelberg.

Cornish, Flora, Gillespie, Alex, Zittoun, Tania (2013). Collaborative analysis of qualitative data. In Flick, U. (Ed.), The Sage Handbook of Qualitative Data Analysis (pp. 79-93). Sage Publications Ltd..

Cowell, Frank (1999). Estimation of inequality indices. In Silber, J. (Ed.), Handbook on Income Inequality Measurement . Kluwer Academic Publishers.

Cowell, Frank, Jenkins, S P, Litchfield, J A (1996). The changing shape of the UK income distribution : kernel density estimates. In Hills, J. (Ed.), New Inequalities : the Changing Distribution of Income and Wealth in the United Kingdom (pp. 49-75). Cambridge University Press.

Divasón, Jose, Mohammadi, Fatemeh, Saenz-De-Cabezon, Eduardo, Wynn, Henry (2023). Sensitivity analysis of discrete preference functions using Koszul simplicial complexes. In Jeronimo, G. (Ed.), ISSAC 2023 - Proceedings of the 2023 International Symposium on Symbolic and Algebraic Computation (pp. 227-235). Association for Computing Machinery. https://doi.org/10.1145/3597066.3597095

Dyson, Tim (2008). India’s demographic transition and its consequences for development. In Kapila, U. (Ed.), India's Economic Development Since 1947 . Academic Foundation.

Edwards, W., Phillips, Lawrence D. (1964). Man as tranducer for probabilities in Bayesian command and control systems. In Bryan, G. & Shelley, M. (Eds.), Human Judgement and Optimality (pp. 360-401). John Wiley & Sons.

Elias, Peter, McKnight, Abigail (2003). Earnings, unemployment and the new social classification. In Rose, D. & Pevalin, D. J. (Eds.), A Researcher's Guide to the National Statistics Socio-Economic Classification . SAGE Publications.

Elias, Peter, McKnight, Abigail (1997). Occupations, earnings and social classification. In Rose, D. & O'Reilly, K. (Eds.), Constructing Classes: Towards a New Social Classification for the Uk . Economic and Social Research Council / Office for National Statistics.

Estrin, Saul, Pissarides, Christopher (1993). Unemployment statistics in Central and Eastern Europe: The role of the Labour Force Survey. In Powers, S. (Ed.), Economic Statistics for Economies in Transition: Eastern Europe in the 1990s (pp. 212-231). United States. Bureau of Labor Statistics.

Fogel, Fajwel, d'Aspremon, Alexandre, Vojnovic, Milan (2014). SerialRank: spectral ranking using seriation. In Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N. & Weinberger., K. (Eds.), Advances in Neural Information Processing Systems 27 (pp. 900-908). Curran Associates, Inc..

Frigg, Roman, Bradley, Seamus, Machete, Reason L., Smith, Leonard A. (2013). Probabilistic forecasting: why model imperfection is a poison pill. In Andersen, H., Dieks, D., Gonzalez, W., Ubel, T. & Wheeler, G. (Eds.), New Challenges to Philosophy of Science (pp. 479-492). Springer Berlin / Heidelberg.

Frigg, Roman, Werndl, Charlotte (2021). Equilibrium in Gibbsian statistical mechanics. In Knox, E. & Wilson, A. (Eds.), Routledge Companion to Philosophy of Physics . Routledge. https://doi.org/10.4324/9781315623818-37

Frigg, Roman, Werndl, Charlotte (2023). Boltzmannian non-equilibrium and local variables. In Soto, C. (Ed.), Current debates in philosophy of science: in honor of Roberto Torretti . Routledge. picture_as_pdf

Frigg, Roman, Werndl, Charlotte (2021). Equilibrium in Boltzmannian statistical mechanics. In Knox, E. & Wilson, A. (Eds.), Routledge Companion to Philosophy of Physics . Routledge. https://doi.org/10.4324/9781315623818-36 picture_as_pdf

Fryzlewicz, Piotr, Delouille, V (2006). A data-driven HAAR-FISZ transform for multiscale variance stabilization. In Proceedings of the 13th IEEE/Sp Workshop on Statistical Signal Processing (pp. 539-544). IEEE. https://doi.org/10.1109/SSP.2005.1628654

Gapeev, Pavel V. (2005). The spread option optimal stopping game. In Kyprianou, A., Schoutens, W. & Wilmott, P. (Eds.), Exotic Option Pricing and Advanced Levy Models (pp. 293-305). John Wiley & Sons.

Gapeev, Pavel V. (2025). On Markovian sufficient statistics in non-additive disorder problems for jump-diffusion processes. In Chigansky, P. & Kordzakhia, N. (Eds.), Statistics of Random Processes and Optimal Control - A.N. Shiryaev’s Festschrift . Springer. [In Press] picture_as_pdf

Gibbons, Stephen, Overman, Henry G., Patacchini, Eleonora (2015). Spatial methods. In Duranton, G., Henderson, J. V. & Strange, W. C. (Eds.), Handbook of Regional and Urban Economics (pp. 115-168). North-Holland. https://doi.org/10.1016/B978-0-444-59517-1.00003-9

Grundy, Emily, Murphy, Michael J. (2001). Demographic trends over the next 20 years: ageing of the population and the health status of the older population. In Health Trends Review: Proceedings of a Conference Chaired by Professor Sir Michael Peckham, School of Public Policy, University . Great Britain. Treasury.

Guastadisegni, Lucia, Cagnone, Silvia, Moustaki, Irini, Vasdekis, Vassilis (2021). The asymptotic power of the Lagrange multiplier tests for misspecified IRT models. In Wiberg, M., Molenaar, D., González, J., Böckenholt, U. & Kim, J. (Eds.), Quantitative Psychology: The 85th Annual Meeting of the Psychometric Society, Virtual (pp. 275 - 284). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-3-030-74772-5_25 picture_as_pdf

Guastadisegni, Lucia, Moustaki, Irini, Vasdekis, Vassilis, Cagnone, Silvia (2023). Detecting latent variable non-normality through the generalized Hausman test. In Wiberg, M., Molenaar, D., González, J., Kim, J. & Hwang, H. (Eds.), Quantitative Psychology - The 87th Annual Meeting of the Psychometric Society, 2022 (pp. 107-118). Springer Netherlands. https://doi.org/10.1007/978-3-031-27781-8_10 picture_as_pdf

Hakim, Catherine (1981). Integrated social data systems: the role of household censuses and surveys as sources of social, demographic and manpower data in Britain. In Eade, D. & Hodgson, J. (Eds.), Information Systems in Public Administration and Their Role in Economic and Social Development (pp. 159-168). North-Holland.

Howson, Colin (2011). Bayesianism as a pure logic of Inference. In Bandyopadhyay, P. & Foster, M. (Eds.), Philosophy of Statistics (pp. 441-472). North-Holland.

Howson, Colin (2002). Bayesianism in statistics. In Swinburne, R. (Ed.), Bayes’s Theorem (pp. 39-71). Oxford University Press/British Academy.

Jenkins, Stephen P. (2015). Public policy and Stata. In Pinzon, E. (Ed.), Thirty Years with Stata: A Retrospective . Stata Press.

Kalinke, Florian, Szabo, Zoltan (2024). The minimax rate of HSIC estimation for translation-invariant kernels. In Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (Eds.), Advances in Neural Information Processing Systems 37 (NeurIPS 2024) . Neural Information Processing Systems Foundation. picture_as_pdf

Klemmer, Konstantin, Xu, Tianlin, Acciaio, Beatrice, Neill, Daniel B. (2022). SPATE-GAN: improved generative modeling of dynamic spatio-temporal patterns with an autoregressive embedding loss. In AAAI-22 Technical Tracks 4 (pp. 4523-4531). Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v36i4.20375

Kotlyarova, Yulia, Schafgans, Marcia M. A., Zinde-Walsh, Victoria (2016). Smoothness: bias and effciency of nonparametric kernel estimators. In Gonzalez-Rivera, G., Hill, C. R. & Lee, T. (Eds.), Essays in Honor of Aman Ullah . Emerald Group Publishing. picture_as_pdf

Kuha, Jouni, Skinner, Chris J. (1997). Categorical data analysis and misclassification. In Lyberg, L., Biemer, P., Collins, M., De Leeuw, E. D., Dippo, C., Schwarz, N. & Trewin, D. (Eds.), Survey Measurement and Process Quality (pp. 633-370). John Wiley & Sons.

Lanctot, Marc, Larson, Kate, Kaisers, Michael, Berthet, Quentin, Gemp, Ian, Diaz, Manfred, Maura-Rivero, Roberto Rafael, Bachrach, Yoram, Koop, Anna, Precup, Doina (2025). Soft condorcet optimization for ranking of general agents. In Vorobeychik, Y., Das, S. & Nowe, A. (Eds.), Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2025 (pp. 1253 - 1262). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). picture_as_pdf

Lewis, Colin M. (2008). Britain, the Argentine and informal empire: rethinking the role of railway companies. In Brown, M. (Ed.), Informal Empire in Latin America: Culture, Commerce and Capital (pp. 99-123). Wiley-Blackwell.

Li, Bingqin (2009). State-funded training of Dibao recipients: information and subject wellbeing, and informal employment in China- a case study of Tianjin. In Social Protection in Asian Cities (pp. 55-75). United Nations. Economic and Social Commission for Asia and the Pacific.

Li, Bingqin, Peng, Huamin (2010). State funded re-employment training, long term unemployment and informal employment in Tianjin, China. In Wu, F. & Webster, C. (Eds.), Marginalization in Urban China: Comparative Perspectives . Palgrave Macmillan.

Li, Ting, Shi, Chengchun, Wang, Jianing, Zhou, Fan, Zhu, Hongtu (2023). Optimal treatment allocation for efficient policy evaluation in sequential decision making. In Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (Eds.), Advances in Neural Information Processing Systems 36 (NeurIPS 2023) . Neural Information Processing Systems Foundation. picture_as_pdf

Lichtenstein, Sarah, Fischhoff, Baruch, Phillips, Lawrence D. (1982). Calibration of probabilities: the state of the art to 1980. In Kahneman, D., Slovic, P. & Tversky, A. (Eds.), Judgment Under Uncertainty: Heuristics and Biases (pp. 306-334). Cambridge University Press.

Loftus, Joshua, Bynum, Lucius, Hansen, Sakina (2024). Causal dependence plots. In Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (Eds.), Advances in Neural Information Processing Systems . picture_as_pdf

Luo, Yuanyuan (2023). Comparing recurrent neural network with GARCH model on forecasting volatility based on SSE 50ETF. In Dai, W. & Jin, S. (Eds.), Second International Conference on Statistics, Applied Mathematics, and Computing Science, CSAMCS 2022 . Society of Photo-optical Instrumentation Engineers. https://doi.org/10.1117/12.2673039

Madhok, Sumi (2004). Heteronomous women? Hidden assumptions in the demography of women. In Unnithan-Kumar, M. (Ed.), Reproductive Change, Medicine and the State: Ethnographic Explorations of Agency in Child Bearing (pp. 223-244). Berghahn Books.

McClennen, Edward (2002). Bayesianism and independence. In Corfield, D. & Williamson, J. (Eds.), Foundations of Bayesianism (pp. 291-308). Kluwer Academic Publishers.

McKnight, Abigail, Elias, Peter (2003). Empirical variation in employment relations and conditions: validating the new social classification. In Rose, D. & Pevalin, D. J. (Eds.), A Researcher's Guide to the National Statistics Socio-Economic Classification . SAGE Publications.

Mennicken, Andrea, Salais, Robert (2021). The new politics of numbers: an introduction. In Mennicken, A. & Salais, R. (Eds.), The New Politics of Numbers: Utopia, Evidence and Democracy (pp. 1 - 42). Palgrave Macmillan. https://doi.org/10.1007/978-3-030-78201-6_1 picture_as_pdf

Mignemi, Giuseppe, Chen, Yunxiao, Moustaki, Irini (2025). Statistical analysis of peer grading: a latent variable approach. In Pollice, A. & Mariani, P. (Eds.), Methodological and Applied Statistics and Demography IV: SIS 2024, Short Papers, Contributed Sessions 2 (pp. 263 - 268). Springer. https://doi.org/10.1007/978-3-031-64447-4_45 picture_as_pdf

Morgan, Mary S. (1999). Learning from models. In Morgan, M. S. & Morrison, M. (Eds.), Models as Mediators: Perspectives on Natural and Social Science (pp. 347-388). Cambridge University Press.

Morgan, Mary S. (1999). Models of mediating instruments. In Morgan, M. S. & Morrison, M. (Eds.), Models as Mediators: Perspectives on Natural and Social Science (pp. 10-37). Cambridge University Press.

Morgan, Mary S. (1997). Searching for causal relations in economic statistics: reflections from history. In McKim, V. R. & Turner, S. P. (Eds.), Causality in Crisis?: Statistical Methods and the Search for Causal Knowledge in the Social Sciences (pp. 47-80). University of Notre Dame Press.

Moustaki, Irini (2003). Latent variable models with covariates. In Kevork, K. E., Tzōrtzopoulos, P. & Panaretos, J. (Eds.), Stochastic Musings : Perspectives From the Pioneers of the Late 20th Century: a Volume in Celebration of the 13 Years of the Dep (pp. 117-128). Lawrence Erlbaum Associates.

Moustaki, Irini (2000). A review of exploratory factor analysis for ordinal categorical data. In Cudeck, R., Dunn, S. & Sorbom, D. (Eds.), Structural Equation Models: Present and Future (pp. 461-480). Scientific software international.

Murphy, Michael J. (2015). John Hajnal 1924-2008. In Johnston, R. (Ed.), Biographical Memoirs of Fellows of the British Academy (pp. 251-269). Oxford University Press / The British Academy.

Natura, Bento, Neuwohner, Meike, Weltge, Stefan (2022). The Pareto cover problem. In Chechik, S., Navarro, G., Rotenberg, E. & Herman, G. (Eds.), Leibniz International Proceedings in Informatics, LIPIcs . Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ESA.2022.80 picture_as_pdf

Ni, Zhifang, Phillips, Lawrence D., Hanna, George (2010). The use of Bayesian networks in decision making. In Athanasiou, T., Debas, H. & Darzi, A. (Eds.), Key Topics in Surgical Research and Methodology (pp. 351-359). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-3-540-71915-1

Norberg, Ragnar (2001). Thorvald Nicolai Thiele. In Heyde, C. C. & Seneta, E. (Eds.), Statisticians of the Centuries (pp. 212-215). Springer Berlin / Heidelberg.

Phillips, Lawrence D. (2005). Bayesian belief networks. In Everitt, B. & Howell, D. (Eds.), Encyclopedia of Statistics in Behavioral Science . Wiley-Blackwell.

Phillips, Lawrence D. (2005). Bayesian statistics. In Everitt, B. & Howell, D. (Eds.), Encyclopedia of Statistics in Behavioral Science . Wiley-Blackwell.

Phillips, Lawrence D. (1983). A theoretical perspective on heuristics and biases in probabilistic thinking. In Humphreys, P., Svenson, O. & Vari, A. (Eds.), Analysing and Aiding Decision Processes (pp. 525-544). North-Holland Publishing Company.

Phillips, Lawrence D., Wright, G.N. (1977). Cultural differences in viewing uncertainty and assessing probabilities. In Jungermann, H. & de Zeeuw, G. (Eds.), Decision Making and Change in Human Affairs (pp. 507-515). D. Reidel Publishing Company.

Priestley, Mark, Subba Rao, T, Tong, Howell (1973). Identification of the structure of multivariate stochastic systems. In Krishnaiah, P. R. (Ed.), Multivariate Analysis Iii . Academic Press.

Rabe-Hesketh, Sophia, Skrondal, Anders (2005). Probit model. In Everitt, B. & Palmer, C. (Eds.), Encyclopaedic Companion to Medical Statistics . Edward Arnold.

Rabe-Hesketh, Sophia, Skrondal, Anders, Zheng, X. (2007). Multilevel structural equation modeling. In Lee, S. (Ed.), Handbook of Latent Variable and Related Models (pp. 209-227). Elsevier (Firm).

Rudas, Tamás, Bergsma, Wicher (2023). Marginal models: an overview. In Kateri, M. & Moustaki, I. (Eds.), Trends and Challenges in Categorical Data Analysis: Statistical Modelling and Interpretation (pp. 67 - 115). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-31186-4_3 picture_as_pdf

Saenz-de-Cabezon, E., Wynn, Henry P. (2013). Computational commutative algebra for tight network reliability bounds. In Steenbergen, R., Van Gelder, P., Miraglia, S. & Vrouwenvelder, A. (Eds.), Safety, reliability and risk analysis: beyond the horizon (pp. 1271-1277). CRC Press.

Sanderson, Jean, Fryzlewicz, Piotr (2007). Locally stationary wavelet coherence with application to neuroscience. In Barber, S., Baxter, P. D. & Mardia, K. V. (Eds.), Systems Biology and Statistical Bioinformatics (pp. 69-72). Leeds University Press.

Sentenac, Flore, Yi, Jialin, Calauzènes, ‪Clément, Perchet, Vianney, Vojnovic, Milan (2021). Pure exploration and regret minimization in matching bandits. In Proceedings of the 38th International Conference on Machine Learning (pp. 9434-9442). Journal of Machine Learning Research. picture_as_pdf

Shah, V., Gulikers, L., Massoulie, L., Vojnovic, Milan (2017). Adaptive matching for expert systems with uncertain task types. In Proceedings. of Allerton Conference, 2017 . Coordinated Science Laboratory University of Illinois at Urbana-Champaign.

Shonchoy, Abu, Wahhaj, Zaki (2023). Birth registration, child rights, and local governance in Bangladesh. In Faguet, J. & Pal, S. (Eds.), Decentralised Governance: Crafting Effective Democracies Around the World (pp. 301 - 333). LSE Press. https://doi.org/10.31389/lsepress.dlg.k picture_as_pdf

Skinner, Chris J. (2000). Dealing with measurement error in panel analysis. In Rose, D. (Ed.), Researching Social and Economic Change: the Uses of Household Panel Studies (pp. 113-125). Routledge.

Skinner, Chris J. (1998). Misclassification error. In Armitage, P. & Colton, T. (Eds.), Encyclopaedia of Biostatistics (pp. 2615-2621). John Wiley & Sons.

Skinner, Chris J. (2004). Méthodes pour protéger la confidentialité des données d’enquêtes. In Ardilly, P. (Ed.), Échantillonnage et Méthodes D'enquêtes (pp. 45-53). Dunod.

Skinner, Chris J. (2009). Statistical disclosure control for survey data. In Pfeffermann, D. & Rao, C. R. (Eds.), Handbook of Statistics 29a: Sample Surveys: Design, Methods and Applications (pp. 381-396). Elsevier (Firm).

Skinner, Chris J., Holmes, D. J. (2003). Random effects models for longitudinal survey data. In Chambers, R. L. & Skinner, C. J. (Eds.), Analysis of Survey Data (pp. 205-219). John Wiley & Sons.

Skinner, Chris J. (2008). Assessing disclosure risk for record linkage. In Domingo-Ferrer, J. & Saygın, Y. (Eds.), Privacy in Statistical Databases: Unesco Chair in Data Privacy International Conference, Psd 2008 Istanbul, Turkey, September 24 (pp. 166-176). Springer Berlin / Heidelberg.

Skinner, Chris J. (2016). Probability proportional to size (PPS) sampling. In Balakrishnan, N., Colton, T., Everitt, B., Piegorsch, W., Ruggeri, F., Teugels, J., Davidian, M., Kenett, R. S. & Molenberghs, G. (Eds.), Wiley StatsRef: Statistics Reference Online (pp. 1-5). John Wiley & Sons. https://doi.org/10.1002/9781118445112.stat03346.pub2 picture_as_pdf

Skrondal, Anders, Rabe-Hesketh, S. (2004). Clustered binary data. In Everitt, B. S. & Palmer, C. R. (Eds.), Encyclopedic Companion to Medical Statistics . Oxford University Press.

Skrondal, Anders, Rabe-Hesketh, S. (2004). Generalized estimating equations. In Everitt, B. S. & Palmer, C. R. (Eds.), Encyclopedic Companion to Medical Statistics . Oxford University Press.

Skrondal, Anders, Rabe-Hesketh, S. (2004). Generalized linear latent and mixed models with composite links and exploded likelihoods. In Biggeri, A., Dreassi, E., Lagazio, C. & Marchi, M. (Eds.), Statistical Modelling: Proceedings of the 19th International Workshop on Statistical Modelling. Florence (Italy) 4-8 July, 2004 (pp. 27-39). Firenze University Press.

Skrondal, Anders, Rabe-Hesketh, S. (2004). Random effects models for discrete longitudinal data. In Everitt, B. S. & Palmer, C. R. (Eds.), Encyclopedic Companion to Medical Statistics . Oxford University Press.

Skrondal, Anders, Rabe-Hesketh, S. (2004). SEM: categorical observed variables. In Everitt, B. S. & Palmer, C. R. (Eds.), Encyclopedic Companion to Medical Statistics . Oxford University Press.

Skrondal, Anders, Rabe-Hesketh, S. (2004). State dependence. In Everitt, B. S. & Palmer, C. R. (Eds.), Encyclopedic Companion to Medical Statistics . Oxford University Press.

Skrondal, Anders, Rabe-Hesketh, Sophia (2005). Structural equation modeling: categorical variables. In Everitt, B. & Howell, D. (Eds.), Encyclopedia of Statistics in Behavioral Science . John Wiley & Sons.

Smith, Leonard A. (1995). Accountability and error in ensemble prediction of baroclinic flows. In Seminar on Predictability, 4-8 September 1995 (pp. 351-368). European Centre for Medium-Range Weather Forecasts.

Smith, Leonard A. (2001). Disentangling uncertainty and error: on the predictability of nonlinear systems. In Mees, A. I. (Ed.), Nonlinear Dynamics and Statistics (pp. 31-64). Birkhäuser (Firm).

Smith, Leonard A. (1995). Locally optimized prediction of nonlinear systems: stochastic and deterministic. In Tong, H. (Ed.), Chaos and Forecasting . World Scientific (Firm).

Smith, Leonard A. (1994). Visualizing predictability with chaotic ensembles. In Luk, F. T. (Ed.), Advanced Signal Processing: Algorithms, Architectures, and Implementations V (Proceedings Volume) (pp. 293-304). Society of Photo-optical Instrumentation Engineers. https://doi.org/10.1117/12.190844

Smith, Leonard A., Roulston, Mark S. (2002). Weather and seasonal forecasting. In Dischel, R. (Ed.), Climate Risk and the Weather Market (pp. 115-126). Risk Books.

Steele, Fiona (2005). Structural equation modeling: multilevel. In Everitt, B. S. & Howell, D. (Eds.), Encyclopedia of Statistics in Behavioral Science (pp. 1927-1931). John Wiley & Sons.

Steele, Fiona, Goldstein, Harvey (2006). Multilevel models in psychometrics. In Rao, C. R. & Sinharay, S. (Eds.), Handbook of Statistics (pp. 401-420). Elsevier North-Holland.

Steele, Fiona, Wang, Duolao (2005). Regression analysis. In Wang, D. & Bakhai, A. (Eds.), Clinical Trials: a Practical Guide to Design, Analysis, and Reporting (pp. 273-286). REMEDICA.

Strong, Joe, Nandagiri, Rishita, Randall, Sara, Coast, Ernestina (2023). Qualitative research in demography: marginal and marginalised. In Liamputtong, P. (Ed.), How to Conduct Qualitative Research in Social Science (pp. 147 - 163). Edward Elgar. https://doi.org/10.4337/9781800376199.00015 picture_as_pdf

Sturgis, Patrick, Smith, Peter W. F., Berrington, Ann (2009). A comparison of graphical models and structural equation models for the analysis of longitudinal survey data. In Lynn, P. (Ed.), Methodology of Longitudinal Surveys (pp. 381-392). John Wiley & Sons. https://doi.org/10.1002/9780470743874.ch22

Subba Rao, T, Tong, Howell (1973). On time-dependent linear stochastic control systems. In Bell, D. (Ed.), Recent Mathematical Developments in Control . Academic Press.

Suárez, Mauricio (2017). Propensities, probabilities and experimental statistics. In Massimi, M., Romeijn, J. & Schurz, G. (Eds.), EPSA15 selected papers: the 5th conference of the European Philosophy of Science Association in Düsseldorf (pp. 335-345). Springer Nature (Firm).

Tong, Howell (2005). Non-linear time series analysis. In Encyclopedia of Biostatistics (pp. 3020-3040). John Wiley & Sons. https://doi.org/10.1002/0470011815.b2a12052

Tong, Howell (1978). On a threshold model. In Chen, C. (Ed.), Pattern Recognition and Signal Processing (pp. 575-586). Sijthoff & Noordhoff.

Tong, Howell (1989). Threshold stability, non-linear forecasting and irregularly sampled data. In Hackl, P. (Ed.), Statistical Analysis and Forecasting of Economic Structural Change (pp. 279-296). Springer Berlin / Heidelberg.

Tong, Howell (2000). A note on kernel estimation in integrated time series. In Chan, K., Li, W. & Tong, H. (Eds.), Statistics and Finance: an Interface (pp. 86-96). Imperial College Press.

Tong, Howell (1995). An overview on chaos. In Titterington, D. (Ed.), Complex Stochastic Systems and Engineering: Conference Proceedings (Institute of Mathematics and Its Applications Conference Serie (pp. 3-11). Oxford University Press.

Tong, Howell, Li, W K (2001). Advanced methods. In Baltes, P. B. & Smelser, N. J. (Eds.), International Encyclopedia of the Social and Behavioral Sciences (pp. 15699-15704). Elsevier (Firm).

Tong, Howell, Xia, Y (2006). On efficiency of estimation for a single-index model. In Fan, J. & Koul, H. (Eds.), Frontiers in Statistics (pp. 63-85). Imperial College Press.

Tong, Howell, Yao, Qiwei (1998). Threshold models. In Encyclopedia of Statistical Sciences (pp. 664-666). https://doi.org/10.1002/0471667196.ess0744.pub2

Tonkiss, Fran (2004). Using focus groups. In Seale, C. (Ed.), Researching Society and Culture (pp. 193-206). SAGE Publications.

Turner, Malgorzata, Sturgis, Patrick, Martin, David, Skinner, Chris J. (2018). Can interviewer personality, attitudes and experience explain the design effect in face-to-face surveys? In Engel, U., Jann, B., Lynn, P., Scherpenzeel, A. & Stirgis, P. (Eds.), Improving Survey Methods: Lessons from Recent Research (pp. 72 - 85). Routledge.

Uehara, Masatoshi, Kiyohara, Haruka, Bennett, Andrew, Chernozhukov, Victor, Jiang, Nan, Kallus, Nathan, Shi, Chengchun, Sun, Wenguang (2023). Future-dependent value-based off-policy evaluation in POMDPs. In Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (Eds.), Advances in Neural Information Processing Systems 36 (NeurIPS 2023) . Neural Information Processing Systems Foundation. picture_as_pdf

Wang, Mingjin, Yao, Qiwei (2005). Modelling multivariate volatilities: an ad hoc method. In Fan, J. & Li, G. (Eds.), Contemporary Multivariate Analysis and Experimental Designs: in Celebration of Professor Kai-Tai Fang's 65th Birthday (pp. 87-97). World Scientific (Firm).

Wu, Z.M, Tong, Howell (1982). Multi-step-ahead forecasting of cyclical data by threshold autoregression. In Anderson, O. (Ed.), Time Series Analysis: Theory and Practice Pt. 2, Proceedings of the International Conference Held in Dublin, Ireland, March 1982 (pp. 733-753). Elsevier (Firm).

Yang, Ke, Loftus, Joshua R., Stoyanovich, Julia (2021). Causal intersectionality and fair ranking. In Ligett, K. & Gupta, S. (Eds.), 2nd Symposium on Foundations of Responsible Computing, FORC 2021 . Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.FORC.2021.7 picture_as_pdf

Yao, Qiwei (2003). Exponential inequalities for spatial processes and uniform convergence rates for density estimation. In Zhang, H. & Huang, J. (Eds.), Development of Modern Statistics and Related Topics: in Celebration of Prof. Yaoting Zhang's 70th Birthday (pp. 118-128). World Scientific (Firm).

van Bellegem, Sébastien, Fryzlewicz, Piotr, von Sachs, Rainer (2003). A wavelet-based model for forecasting non-stationary processes. In Gazeau, J., Kerner, R., Antoine, J. & Metens, S. (Eds.), Group 24: Physical and Mathematical Aspects of Symmetries: Proceedings of the 24th International Colloquium on Group Theoretical (pp. 955-958). Institute of Physics Publishing.

Çetin, Umut, Waelbroeck, Henri (2023). Power laws in market microstructure. In Jarrow, R. A. & Madan, D. B. (Eds.), Peter Carr Gedenkschrift: Research Advances in Mathematical Finance (pp. 753 - 819). World Scientific (Firm). https://doi.org/10.1142/9789811280306_0022

Conference or Workshop Item

International Bank for Reconstruction and Development City of Barcelona (2012-10-08 - 2012-10-10) What constitutes a metropolitan health advantage? [Paper]. 6th Urban Research and Knowledge Symposium - rethinking cities: framing the future, organised by the World Bank and Barcelona City Council, Barcelona, Spain, ESP.

Alistarh, D., Li, J., Tomioka, R., Vojnovic, Milan (2016-12-10) Quantized stochastic gradient descent: communication versus convergence [Paper]. OPT 2016, Barcelona, Spain, ESP.

Chiang, Daryl, Kotecha, Meena (2023-09-04 - 2023-09-07) Reducing mathematics anxiety by enhancing mathematical resilience - a mindset intervention [Poster]. RSS International Conference 2023, Harrogate Convention Centre, Harrogate, United Kingdom, GBR. picture_as_pdf

Cho, Haeran, Fryzlewicz, Piotr (2008-12-05 - 2008-12-08) Multiscale breakpoint detection in piecewise stationary AR models [Paper]. IASC2008, Yokohama, Japan, JPN.

Coast, Ernestina, Fanghanel, Alex, Lelievre, Eva, Randall, Sara (2013-11-12 - 2013-11-15) Counting the population or describing society?: a comparison of British and French censuses [Paper]. Chaire Quetelet 2013, Louvain-la-Neuve, Belgium, BEL. desktop_windows

Coast, Ernestina, Randall, Sara, Fanghanel, Alex, Lelievre, Eva, Ba-Gning, Sadio (2012-06-13 - 2012-06-16) Sofa surfers and shed dwellers: new living arrangements and household surveys in the UK and France [Paper]. European Population Conference, Stockholm University, Stockholm, Sweden, SWE.

Dassios, Angelos, Zhao, Hongbiao (0001-01-03) Point processes with contagion and an application to credit risk [Poster]. LSE PhD posters.

Dassios, Angelos, Zhao, Hongbiao (2011-05-26) A dynamic contagion process and an application to credit risk [Poster]. LSE Research Day 2011: The Early Career Researcher, London, United Kingdom, GBR.

Dobrow, Shoshana R. (2007-01-01) The development of calling: a longitudinal study of musicians [Paper]. Academy of Management Annual Meeting: Doing Well By Doing Good, Philadelphia, United States, USA. picture_as_pdf

Dureau, Joseph, Kalogeropoulos, Konstantinos (2011-05-26) Inference on epidemic models with time-varying parameters: methodology and preliminary applications [Poster]. LSE Research Day 2011: The Early Career Researcher, London, United Kingdom, GBR.

Fanghanel, Alex, Coast, Ernestina, Randall, Sara (2012-06-13 - 2012-06-16) Mapping intergenerational care across households in the UK: analysing proximity, propinquity and resources in the "tacit intergenerational contract" [Paper]. European Population Conference, Stockholm University, Stockholm, Sweden, SWE.

Feng, Jianqi, Shi, Chengchun, Wu, Zhenke, Yan, Xiaodong, Zhao, Wei (2025-11-30 - 2025-12-07) Beyond average value function in precision medicine: maximum probability-driven reinforcement learning for survival analysis [Paper]. 39th Conference on Neural Information Processing Systems. [In Press] picture_as_pdf

Giammarino, Flavia, Barrieu, Pauline (2011-05-26) Indifference pricing with uncertainty averse preferences [Poster]. LSE Research Day 2011: The Early Career Researcher, London, United Kingdom, GBR.

Gordon, Ian R. (2018-05-09) From start to finish: a framework for the production of small area official statistics: discussion on the paper by Tzavidis, Zhang, Luna, Schmid and Rojas-Perilla [Paper]. Royal Statistical Society Discussion Meeting, The Royal Statistical Society, London, United Kingdom, GBR. picture_as_pdf

Habibnia, Ali (2015-05-21) Nonlinear forecasting with many predictors by neural network factor models [Poster]. LSE Research Festival 2015, London, United Kingdom, GBR.

Jarman, Alex, Smith, Leonard A. (2011-05-26) Small-number statistics, common sense, and profit: challenges and non-challenges for hurricane forecasting [Poster]. LSE Research Day 2011: The Early Career Researcher, London, United Kingdom, GBR.

Kibuchi, Eliud, Durrant, Gabriele B., Sturgis, Patrick, Maslovskaya, Olga (2016-11-14 - 2016-11-15) An assessment of the utility of a Bayesian framework to improve response propensity modelling [Paper]. Intermediary Network meeting, University of Southampton, Southampton, United Kingdom, GBR.

Kriel, Antoinette, Randall, Sara, Coast, Ernestina, Risenga, Arthur, Nyambura, Melissa (2012-07-01 - 2012-07-04) From design to practice: how can large-scale household surveys better represent the complexities of the social units under investigation? [Paper]. XVIII South African Sociological Association Annual Congress: Knowledge, Technologies and Social Change, Cape Town, South Africa, ZAF.

Lambert, Alex, Parekh, Sanjeel, Szabo, Zoltan, d'Alché-Buc, Florence (2021-12-13) Continuous emotion transfer using kernels [Paper]. Controllable Generative Modeling in Language and Vision: CtrlGen Workshop at NeurIPS 2021, Online. picture_as_pdf

Li, Jing-Jing, Shi, Chengchun, Li, Lexin, Collins, Anne G.E. (2023-07-26 - 2023-07-29) A generalized method for dynamic noise inference in modeling sequential decision-making [Paper]. Cognition in context, International Convention Centre Sydney, Sydney, Australia, AUS. [In Press]

Liu, Naijia, Kotecha, Meena (2023-09-04 - 2023-09-07) The relationship between undergraduate students’ mathematics anxiety and motivation to learn mathematics: a mixed method study [Poster]. RSS International Conference 2023, Harrogate Convention Centre, Harrogate, United Kingdom, GBR. picture_as_pdf

Malley, Juliette, Fernández, José-Luis (2012-09-05 - 2012-09-08) Developing adjusted indicators of quality from survey data [Paper]. 2nd International Conference on Evidence-Based Policy in Long-Term Care, London, United Kingdom, GBR.

Michel, Jesse S., Viswesvaran, Chockalingam, Thomas, Jeffrey (2011-04-14 - 2011-04-16) Meta-analytic SEM: a model comparison with/without corrections for study artifacts [Poster]. 26th Annual Society for Industrial and Organizational Psychology conference, Hilton, Chicago, United States, USA.

Moustaki, Irini, O'Muircheartaigh, C (1996-05-16 - 1996-05-19) Item non-response in attitude scales: a latent variable approach [Paper]. 51st Annual Conference of the American Association for Public Opinion Research, Utah, United States, USA.

Ozaki, T, Tong, Howell (1975-01-01) On fitting of non-stationary autoregressive models in time series analysis [Paper]. Proceedings of the 8th Hawaii International Conference on System Science, Hawaii, United States, USA.

Paccoud, Antoine (2012-09-12 - 2012-09-14) Comparing the health and wealth performance of metropolitan regions [Paper]. International Association of Official Statistics (IAOS) Annual Conference, Kiev, Ukraine, UKR.

Rasley, Jeff, Karanasos, Konstantinos, Kandula, Srikanth, Fonseca, Rodrigo, Vojnovic, Milan, Rao, Sriram (2016-04-18 - 2016-04-21) Efficient queue management for cluster scheduling [Paper]. EuroSys 2016, London, United Kingdom, GBR.

Sanderson, Jean, Fryzlewicz, Piotr (2007-08-22 - 2007-08-29) Locally stationary wavelet coherence with application to neuroscience [Paper]. Proceedings of the 56th session of the International Statistical Institute, Lisbon, Portugal, PRT.

Seymour, Janelle, McNamee, Paul, Scott, Anthony, Tinelli, Michela, Bond, Christine (2007-07-08 - 2007-07-11) Shedding new light onto the ceiling and floor?: a quantile regression approach to compare EQ-5D and SF-6D responses [Poster]. International Health Economics Association 6th World Congress: Explorations in Health, Copenhagen, Denmark, DNK.

Shi, Chengchun, Wan, Runzhe, Chernozhukov, Victor, Song, Rui (2021-07-18 - 2021-07-24) Deeply-debiased off-policy interval estimation [Paper]. International Conference on Machine Learning, Online. [In Press] picture_as_pdf

Shi, Chengchun, Wan, Runzhe, Song, Rui, Lu, Wenbin, Leng, Ling (2020-07-12 - 2020-07-18) Does the Markov decision process fit the data: testing for the Markov property in sequential decision making [Paper]. International Conference on Machine Learning, Online. [In Press] picture_as_pdf

Steele, F., Brown, J., Chambers, R. (1999-05-05 - 1999-05-07) A donor imputation system to create a census database fully adjusted for underenumeration [Paper]. Statistics Canada symposium on combining data from different sources, Ottawa, Canada, CAN.

Steele, Fiona (2001-08-22 - 2001-08-29) Selection effects in an analysis of contraceptive discontinuation in Morocco: an application of a multiprocess multilevel model [Paper]. 53rd session of the International Statistics Institute, Seoul, Korea, Republic of, KOR.

Tinelli, Michela, Ryan, Mandy, Bond, C. (2011-02-09) Going beyond QALYs in randomised controlled trials: an application to pharmacy [Poster]. NIHR / MRC Methodology Workshop, London, United Kingdom, GBR.

Tong, Howell (1980-05-01) Catastrophe in time series analysis? [Paper]. Journees de statistique, Toulouse, France, FRA.

Tong, Howell (2007-08-22 - 2007-08-29) Exploring volatility from a dynamical system perspective [Paper]. 56th session of the International Statistical Institute, Lisbon, Portugal, PRT.

Wan, Runzhe, Zhang, Sheng, Shi, Chengchun, Luo, Shikai, Song, Rui (2021-08-19 - 2021-08-26) Pattern transfer learning for reinforcement learning in order dispatching [Paper]. International Joint Conference on Artificial Intelligence. [In Press] picture_as_pdf

Wang, Yiliu, Chen, Wei, Vojnovic, Milan (2024-05-07 - 2024-05-11) Combinatorial bandits for maximum value reward function under value-index feedback [Paper]. ICLR 2024 The Twelfth International Conference on Learning Representations, Messe Wien Exhibition and Congress Center, Vienna, Austria, AUT. picture_as_pdf

Wolff, Rodney C., Yao, Qiwei, Tong, Howell (2003-06-06 - 2003-06-07) Statistical tests for Lyapunov exponents of deterministic systems [Paper]. Cofin 2000 Final Workshop, Bressanone, Italy, ITA.

Xu, Erhan, Ye, Kai, Zhou, Hongyi, Zhu, Luhan, Quinzan, Francesco, Shi, Chengchun (2025-11-30 - 2025-12-07) Doubly robust alignment for large language models [Paper]. 39th Conference on Neural Information Processing Systems. [In Press] picture_as_pdf

Report

London School of Economics and Political Science (2014). Extending procedural justice theory: a Fiducia report on the design of new survey indicators. (Fiducia: new European crimes and trust-based policy). European Commission. https://doi.org/10.2139/ssrn.2613429

Amadeus IT Group (2017). Managing every mile. LSE Consulting.

Bergsma, Wicher, van der Ark, Andries (2015). Categorical marginal models: quite extensive package for the estimation of marginal models for categorical data. Comprehensive R Archive Network.

Biggs, Norman (2009). Tutte polynomials of bracelets. (CDAM research reports series LSE-CDAM 2009-01). CDAM: Computational, Discrete and Applicable Mathematics@LSE.

Brightwell, Graham, Luczak, Malwina (2009). Order-invariant measures on fixed causal sets. arXiv.

Chamakh, Linda, Szabo, Zoltan (2021). Keep it tighter -- A story on analytical mean embeddings. arXiv. https://doi.org/10.48550/ARXIV.2110.09516 picture_as_pdf

Dolan, Paul, Layard, Richard, Metcalfe, Robert (2011). Measuring subjective well-being for public policy. Great Britain. Office for National Statistics.

Duursma, Allard (2017). Data synthesis paper, July 2017. London School of Economics and Political Science. picture_as_pdf

Fryzlewicz, Piotr, Nason, Guy P. (2004). Smoothing the wavelet periodogram using the Haar-Fisz transform. (Technical report 03:08). Department of Mathematics, University of Bristol.

Gapeev, Pavel V., Lerche, Hans Rudolf (2009). Discounted optimal stopping for diffusions: free-boundary versus martingale approach. (CDAM research report LSE-CDAM-2009-03). CDAM@LSE.

Giovagnoli, Alessandra, Wynn, Henry P. (2012). (U,V) ordering and a duality theorem for risk aversion and Lorenz type orderings. (LSE Philosophy Papers). Centre for Philosophy of Natural and Social Science.

Gjonça, Arjan, Misha, Arjana, Kapllani, Elda, Xhillari, Lindita, Murthi, Manuela (2004). Living conditions and inequality in Albania. (2001 Population and housing census). Instituti i Statistikës (Albania).

Hakim, Catherine (1978). Census confidentiality, microdata and census analysis. (Occasional papers 3). Office of Population Censuses and Surveys.

Hakim, Catherine (1978). Census data and analysis: a selected bibliography. (Occasional papers 6). Office of Population Censuses and Surveys.

Hakim, Catherine (1977). Census-based area profiles: a review. (Occasional papers 2). Office of Population Censuses and Surveys.

Hakim, Catherine (1979). Community indicators. (Statistical information service Vol. 2). Chartered Institute of Public Finance and Accountancy.

Hakim, Catherine (1978). Data dissemination for the population census: a data users' guide. (Occasional papers 11). Stationery Office.

Hakim, Catherine (1978). Social and community indicators from the census. (Occasional papers 5). Stationery Office.

Hao, Meiling, Su, Pingfan, Hu, Liyuan, Szabo, Zoltan, Zhao, Qianyu, Shi, Chengchun (2024). Forward and backward state abstractions for off-policy evaluation. arXiv. picture_as_pdf

Hosein, Ian (2007). The challenges for identity policy and the US context. US Federal Trade Commission.

Hussein, Shereen (2011). The use of 'large scale datasets' in UK social care research. (Methods review 5). NIHR School for Social Care Research.

Jackson, Jonathan, Hough, Mike, Bradford, Ben, Hohl, Katrin, Kuha, Jouni (2012). Policing by consent: understanding the dynamics of police power and legitimacy. (ESS country specific topline results series 1). European Commission.

Jackson, Jonathan, Pooler, Tia, Hohl, Katrin, Kuha, Jouni, Bradford, Ben, Hough, Mike (2011). Trust in justice: topline results from round 5 of the European Social Survey. (ESS topline results series 1). European Commission.

Klein, David J., Brown, Adalsteinn, Huynh, Tai M., Bevan, Gwyn, Markel, Frank, Ottaway, Steven D., Pink, George, Zyblock, Myles (2013). Capital spending in healthcare: a missed opportunity for improvement? Ottawa, Canada.

Kotecha, Meena (2012). Teaching mathematics and statistics: promoting students' engagement and interaction. University of Bristol.

Lawless, Paul, Tyler, Peter, Overman, Henry G. (2011). Strategies for underperforming places. (SERC Policy Papers SERCPP006). The London School of Economics and Political Science, Spatial Economics Research Centre.

Ma, Tao, Yang, Xuzhi, Szabo, Zoltan (2024). To switch or not to switch? Balanced policy switching in offline reinforcement learning. arXiv. https://doi.org/10.48550/arXiv.2407.01837 picture_as_pdf

Marinucci, D, Robinson, Peter M (2001). Finite sample improvement in statistical inference with I(1) processes. (Econometrics EM/2001/422). Suntory and Toyota International Centres for Economics and Related Disciplines.

McKnight, Abigail (1995). Occupational and industrial classifications for the first destinations of higher education leavers. Higher Education Statistics Agency.

McKnight, Abigail (1995). Standard industrial classification(first destination supplement): classification structure and coding index. Higher Education Statistics Agency.

McKnight, Abigail (1995). Standard occupational classification(first destination supplement): classification structure and coding index. Higher Education Statistics Agency.

Romeo, R., McIntosh, B., Knapp, Martin, Sanderson, Helen, Swift, Paul, Robertson, J., Emerson, E., Routledge, M., Oakes, P. & Elliot, J. et al (2006). Training costs of person-centred planning. University of Kent.

Sturgis, Patrick, Kuha, Jouni, Howe, Shane, Maxineanu, Ioana (2025). Three experiments on the causes of differences in estimates of gambling and gambling impacts in general population surveys. London School of Economics and Political Science. picture_as_pdf

Sturgis, Patrick, Smith, Patten, Hughes, Graham (2006). A study of suitable methods for raising response rates in school surveys. (Research Reports RR721). BMRB International.

Tong, Howell, Stenseth, Nils Chr, Yao, Qiwei (2002). Nonlinear time series modelling of highly fluctuating biological population over space - main results. Department of Statistics, London School of Economics and Political Science.

Woolham, John (2011). Research governance and ethics for adult social care research: procedures, practices and challenges. (Methods review 4). NIHR School for Social Care Research.

Thesis

Abdey, James Spencer (2009). To p, or not to p?: quantifying inferential decision errors to assess whether significance truly is significant [Doctoral thesis]. London School of Economics and Political Science.

Aschermayr, Patrick (2023). Sequential Bayesian learning for State Space Models [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004578

Baranowski, Rafal (2016). On variable selection in high dimensions, segmentation and multiscale time series [Doctoral thesis]. London School of Economics and Political Science.

Binter, Roman (2012). Applied probabilistic forecasting [Doctoral thesis]. London School of Economics and Political Science.

Bruynooghe, Daniel (2011). Differential cumulants, hierarchical models and monomial ideals [Doctoral thesis]. London School of Economics and Political Science.

Che, Xiaonan (2011). Markov type models for large-valued interbank payment systems [Doctoral thesis]. London School of Economics and Political Science.

Cheng, Wenqian (2017). Statistical data mining for Sina Weibo, a Chinese micro-blog: sentiment modelling and randomness reduction for topic modelling [Doctoral thesis]. London School of Economics and Political Science.

Cho, Haeran (2010). Sparse modelling and estimation for nonstationary time series and high-dimensional data [Doctoral thesis]. London School of Economics and Political Science.

Dayan, Yehuda (2014). A structured approach to web panel surveys: the use of a sequential framework for non-random survey sampling inference [Doctoral thesis]. London School of Economics and Political Science.

Di Gessa, Giorgio (2007). Simple strategies for variance uncertainty in meta-analysis [Masters thesis]. University of Glasgow.

Dou, Baojun (2015). Three essays on time series: spatio-temporal modelling, dimension reduction and change-point detection [Doctoral thesis]. London School of Economics and Political Science.

Du, Hailiang (2009). Combining statistical methods with dynamical insight to improve nonlinear estimation [Doctoral thesis]. London School of Economics and Political Science.

Dureau, Joseph (2013). Bayesian inference for indirectly observed stochastic processes, applications to epidemic modelling [Doctoral thesis]. London School of Economics and Political Science.

Fendrich, Samuel (1987). From axiomatization to generalizatrion of set theory [Doctoral thesis]. London School of Economics and Political Science.

Feng, Huang (2018). Eigenvalue-regularized covariance matrix estimators for high-dimensional data [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.osead61e9a1s

Ferioli Gomes, Eduardo (2025). Directional high frequency trading in the Kyle-Back model [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004826

Fryzlewicz, Piotr (2003). Wavelet techniques for time series and poisson data. [Doctoral thesis]. University of Bristol.

Fryzlewicz, Piotr (2000). The application of linear programming to American option valuation in the jump-diffusion model [Doctoral thesis]. University of Wrocław.

Gavioli-Akilagun, Shakeel (2023). On inference and causality in change point regressions [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004764

Habibnia, Ali (2016). Essays in high-dimensional nonlinear time series analysis [Doctoral thesis]. London School of Economics and Political Science.

Hafez, Mai (2015). Analysis of multivariate longitudinal categorical data subject to nonrandom missingness: a latent variable approach [Doctoral thesis]. London School of Economics and Political Science.

Higgins, Sarah (2015). Limitations to seasonal weather prediction and crop forecasting due to nonlinearity and model inadequacy [Doctoral thesis]. London School of Economics and Political Science.

Ho, Tak Yui (2018). On the running maximum of brownian motion and associated lookback options [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.on0lkdg8e7ar

Hu, Qilin (2016). Autocorrelation-based factor analysis and nonlinear shrinkage estimation of large integrated covariance matrix [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.qiadcqgcb739

Huang, Na (2016). Estimation of covariance, correlation and precision matrices for high-dimensional data [Doctoral thesis]. London School of Economics and Political Science.

Jamil, Haziq Md. (2018). Regression modelling using priors depending on Fisher information covariance kernels (I-priors) [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.qq05sap697cp

Jarman, Alexander S. (2014). On the provision, reliability, and use of hurricane forecasts on various timescales [Doctoral thesis]. London School of Economics and Political Science.

Jiménez-Huerta, Diego (2009). Stochastic models and methods for the assessment of earthquake risk in insurance [Doctoral thesis]. London School of Economics and Political Science.

Koopman, Siem Jan (1992). Diagnostic checking and intra-daily effects in time series models [Doctoral thesis]. London School of Economics and Political Science.

Korkas, Karolos (2014). Randomised and L1-penalty approaches to segmentation in time series and regression models [Doctoral thesis]. London School of Economics and Political Science.

Li, Cheng (2016). Three aspects of mathematical models for asymmetric information in financial market [Doctoral thesis]. London School of Economics and Political Science.

Liu, Shiju (2017). Excursions of risk processes with inverse gaussian processes and their applications in insurance [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.ot41ge7e6wcl

Marchese, Malvina (2015). Whittle estimation of multivariate exponential volatility models [Doctoral thesis]. London School of Economics and Political Science.

Maynard, Trevor (2016). Extreme insurance and the dynamics of risk [Doctoral thesis]. London School of Economics and Political Science.

Moustaki, Irini (1996). Latent variable models for mixed manifest variables [Doctoral thesis]. London School of Economics and Political Science.

Norris, Maria (2015). Contesting identity and preventing belonging? An analysis of British counter terrorism policy since the Terrorism Act 2000 and the selective use of the terrorism label by the British Government. [Doctoral thesis]. London School of Economics and Political Science.

Pellegrino, Filippo (2022). Essays on asynchronous time series and related multidimensional data [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004500

Ren, Yu (2011). The methodology of flowgraph models [Doctoral thesis]. London School of Economics and Political Science.

Riccardi, Filippo (2014). Stochastic models for the Limit Order Book [Masters thesis]. London School of Economics and Political Science.

Rosemarin, Roy (2012). Dimensionality reduction in nonparametric conditional density estimation with applications to nonlinear time series [Doctoral thesis]. London School of Economics and Political Science.

Schröder, Anna Louise (2016). Methods for change-point detection with additional interpretability [Doctoral thesis]. London School of Economics and Political Science.

Sheynzon, Ilya (2012). Quantitative modelling of market booms and crashes [Doctoral thesis]. London School of Economics and Political Science.

Shi, Pucheng (2013). Study of new models for insider trading and impulse control [Doctoral thesis]. London School of Economics and Political Science.

Sienkiewicz, Ewelina (2017). Predictability and the decay of information in mathematical and physical systems [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.896udl83lo6y

Terzi, Tayfun (2017). Detecting semi-plausible response patterns [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.ujium54l0s14

Thawornkaiwong, Supachoke (2012). Statistical inference on linear and partly linear regression with spatial dependence: parametric and nonparametric approaches [Doctoral thesis]. London School of Economics and Political Science.

Tobelem-Foldvari, Sandrine (2010). Robust asset allocation under model ambiguity [Doctoral thesis]. London School of Economics and Political Science.

Tohidi, Somayeh (2025). Demographic statistical evidence with a humane face [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004856

Wheatcroft, Edward (2015). Improving predictability of the future by grasping probability less tightly [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.4y0fpt086ocb

Wu, Billy (2013). Estimating parameters in the presence of many nuisance parameters [Masters thesis]. London School of Economics and Political Science.

Yan, Yang (2014). Essays in modelling and estimatingvValue-at-risk [Doctoral thesis]. London School of Economics and Political Science.

Zhang, You You (2014). Brownian excursions in mathematical finance [Doctoral thesis]. London School of Economics and Political Science.

Zhao, Hongbiao (2012). A dynamic contagion process for modelling contagion risk in finance and insurance [Doctoral thesis]. London School of Economics and Political Science.

Zhu, Yajing (2018). Multilevel structural equation models for the interrelationships between multiple dimensions of childhood socioeconomic circumstances, partnership stability and midlife health [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.v86u2w521b54

Online resource

Alam, Khurshed (2015). Expanding the reach of microcredit through livelihood mapping: a model.

Ali, Salamat (2016). Trade costs and potential: removing barriers to growth in Pakistan.

Anonymous (2016). From studying EC455 to a summer internship at the OECD.

Astill, Stuart (2016). The UK is missing a great opportunity to improve productivity: people data.

Atanasova, Dimitrinka (2015). Book review: digital humanitarians: how big data is changing the face of humanitarian response.

Bandyopadhyay, Sanghamitra (2013). Making sense of the Rajan report’s ranking of Indian states’ development.

Bauchowicz, Stefan, Hänska, Max (2016). How Leave won Twitter: an analysis of 7.5m Brexit-related tweets.

Baum-Snow, Nathaniel, Henderson, J. Vernon, Turner, Matthew A., Zhang, Qinghua, Brandt, Loren (2016). When models fall short: Evidence from Chinese road infrastructure investments.

Beckett, Charlie (2008). Bloggers as beautiful dots (Media Re:publica conference: pt 2).

Beckett, Charlie (2011). Data visualisation in Davos: it’s beautiful but what’s it for?

Beckett, Charlie (2010). Data visualisation: looks great but what does it do?

Beckett, Charlie (2017). How we report elections: time for a new agenda for political journalism after the 2017 shock?

Beckett, Charlie (2007). NJ in NYC: the future of news?

Beckett, Charlie (2009). Political blog power: numbers and attention.

Beckett, Charlie (2008). YouGov wins London election.

Begg, Iain (2015). Lies, damned lies and statistics on the UK’s EU membership.

Begg, Iain (2016). Lies, damned lies and yet more misleading statistics on Europe.

Bell, Clive, Squire, Lyn (2016). Can drawing on preliminary findings boost the impact of evidence on policymaking?

Brinkley, Ian (2014). Overall good news on the labour market for employment – but much less so for productivity and real wages.

Chernyavskaya, Alexandra (2015). What parents need to know: latest trends in children’s internet use.

Chwalisz, Claudia (2015). The cry of populism signals a wider frustration with ‘politics as usual’, and greater use of deliberation could be the answer.

Cohen, Lucía (2012). Misestimation and misrepresentation: polling for the truth (guest blog).

Cross, Jamie (2014). Book review: visual insights: a practical guide to making sense of data by Katy Börner and David E. Polley.

Custódio, Leonardo (2014). Book review: methodological practices in social movement research edited by Donatella della Porta.

Dassoneville, Ruth, Hooghe, Marc (2014). The use of voter recall in election studies is unreliable, but shouldn’t be abandoned altogether.

Davies, Neil (2013). Advocates of RCTs in education should look more closely at the differences between medical research and education research.

DeCillia, Brooks (2016). From “Watchdog” to “Attackdog”: Media depictions of Jeremy Corbyn are an affront to democracy.

Dehejia, Rajeev, Pop-Eleches, Cristian, Samii, Cyrus (2016). From local to global: extrapolating experiments.

Dermott, Esther (2015). The evolution of gender and poverty in Britain: solo-living men are emerging as a new poor group.

Diobaye, Ndeye Diarra (2015). Should editors share analytics with journalists ?

Dominitz, Jeff, Manski, Charles F. (2018). More data or better data? Using statistical decision theory to guide data collection.

Dunleavy, Patrick, Carrera, Leandro (2013). The rise of a robot state? New frontiers for growing the productivity of government services.

Filindra, Alexandra (2017). White Americans are much more likely to support gun rights than their non-white counterparts, but not because they want arms for self-protection.

Fisher, Stephen (2013). Local elections vote shares: the measures used to project local votes nationally are better than looking at the number of seats won or lost, but local voting does differ from general election vote intention.

Forbess, Alex (2014). Using data for campaigning journalism: Monique Villa at LSE.

Franklin, Simon, Caria, Stefano (2016). Curse of anonymity or tyranny of distance? The impacts of job-search support in urban Ethiopia.

Galsworthy, Michael J., Davidson, Rob (2015). Debunking the myths about British science after an EU exit.

Gandrud, Christopher, Hallerberg, Mark (2015). Democratically elected politicians tend to push the cost of financial crises to the future in order to avert unpopularity.

Ghatak, Maitreesh, Ray, Debraj (2014). Please weight: when confronted by a large Indian statistic, divide by population.

Gibbons, Stephen (2013). Do student satisfaction ratings affect university choices? New evidence about the National Student Survey.

Goodwin, Matthew (2015). How soft is the Leave vote – and which issues will swing it?

Goodwin, Matthew (2016). Matthew Goodwin examines five ways the Outers could win.

Goodwin, Matthew (2016). Matthew Goodwin’s round-up: Leave’s lead, the Boris effect and persuading the Undecideds.

Goodwin, Matthew (2016). Polls apart: why we need to treat all EU referendum polling with caution.

Greene, Zac, O’Brien, Diana (2016). New women MPs shift their party leftwards – but female leaders don’t.

Griffiths, Heather (2015). Why I am proud to have an Ology!

Grossman, Wendy (2015). Book review: disconnected: youth, new media and the ethics gap.

Grossman, Wendy (2016). ​Mining data and the database state.

Hammer, Jeffrey (2016). Is ‘big data’ over-hyped? The importance of good data for improving health policy in Punjab.

Hanefeld, Johanna, Lunt, Neil (2014). We need a better understanding of the effects of ‘medical tourism’ on health systems to have an informed debate about fairness and regulation.

Hanretty, Chris (2015). The 2015 election has been described as the most disproportional ever – but it wasn’t disproportional everywhere.

Heath, Oliver (2015). Why the UK’s pre-election polls got it so wrong: is it time to take probability sampling seriously?

Hix, Simon (2015). When MEPs vote, the UK’s delegation is increasingly marginalised.

Hu, Chun-Ping (2013). How audience data can improve content as well as traffic (Polis Summer School guest blog) #PolisSs.

Ingold, Jo, Monaghan, Mark (2016). Evidence-based policy and policy as ‘translation’: designing a model for policymaking.

Kaul, Upaasna (2016). New IGC annual report.

Lauderdale, Benjamin E. (2012). Book review: models as maps: the search for better explanations of political phenomena.

Lawlor, Eilís (2014). Book review: GDP: a brief but affectionate history by Diane Coyle.

Leal, Wanda, Mier, Carrie (2015). The relationship between drugs and crime differs by age.

Leonard, Meghan E., Ross, Joseph V. (2015). Elected and appointed justices face different constraints inwriting opinions.

Livingstone, Sonia (2015). As ever younger kids go online, how is the family responding?

Livingstone, Sonia (2016). Reading the runes to anticipate children’s digital futures.

Lordan, Grace, Pakrashi, Debayan (2013). Employers have a role to play in encouraging increased participation in physical activities.

MacWilliams, Matthew C. (2015). Forecasting models using Facebook data can be more accurate at predicting election outcomes than polling.

Martin, Susan Marie (2015). Book review: strengthening communities with neighborhood data.

Matsuo, Akitaka, Benoit, Kenneth (2017). More positive, assertive and forward-looking: how Leave won Twitter.

McMillan, Lindsey (2014). Graduates who attended a private school have additional advantage in the labour market.

Middlekoop, Paul (2015). UN FORUM SERIES – radical transparency, or how to use public data for large scale social-impact assessments.

Milic, Thomas, Serdült, Uwe (2016). Were the Brits Swiss, they would still have voted to leave.

Nakatudde, Nambassa (2017). Unsourced and incomplete: how referendum campaign leaflets misused statistics.

Nuijten, Michèle B. (2018). statcheck - a spellchecker for statistics.

Papanicolas, Irene, Cylus, Jonathan, Smith, Peter (2013). What drives people’s perceptions of their health system? In the UK, overall satisfaction with the NHS is closely associated with GP performance.

Peled, Alon, Kippin, Sean (2016). Interview: Alon Peled on the public sector information exchange, avoiding disasters, and big data.

Persson, Jen (2016). School census changes add concerns to the richest education database in the world.

Powell, Alison (2016). Making and measuring news: data and algorithms in journalism.

Razin, Ronny (2016). Over-55s and men dominate online Brexit debate – and they’re persuasive, too.

Revington, Nick (2015). North American cities aren’t just gentrifying, they’re youthifying as well.

Rogers, Andrew (2016). How are black majority churches growing in the UK? A London Borough case study.

Scully, Roger (2015). Going west: voters in Wales turn against the EU.

Sebastio, Filippo (2016). Data-Jam: could data reduce road congestion in Dhaka?

Shah, Hemal (2012). Prosperity and social capital: is India missing out? picture_as_pdf

Shah, Hetan (2015). Our democracy relies on the quality of data in the public domain.

Sheerman, Barry (2013). Gambling on high streets in Britain: the government should take action to protect customers from what may be the predatory targeting of the disenfranchised.

Smith, Russell M. (2017). Cities of Color are a growing trend in America – and their long-term influence should not be underestimated.

Solomon, Sam (2016). Polling one billion: measuring public opinion in the world’s largest democracy.

Spencer, Nick (2016). Is religion good for you? Analysing three decades worth of academic research on the relationship between religion and well-being.

Squires, Peter (2013). Youth justice policy is undergoing an important transition from ‘costly criminalisation’ to ‘precautionary risk management’.

Stewart, Neil (2017). Book review: the data librarian’s handbook by Robin Rice and John Southall.

Tattersall, Andy (2016). 0 is the magic number: why small numbers matter just as much as large ones when we talk about altmetrics.

Thomason, Nicholas (2014). Book review: Political science research methods: exploring America at a crossroads by Cal Clark.

Thompson, Matthew J., Smith, Chris M. (2017). Citizen science and crowdsourced data collection, not government statistics, provide the most reliable count of citizen fatalities by police.

Toledo Bastos, Marco (2013). Newsmaking in the Twittersphere – some new international data on how journalism flows through the microblog network (guest blog) #twitter.

Trumm, Siim, Sudulich, Laura (2016). When parties engage voters on the ground, they intensify public interest in elections and improve turnout.

Van Reen, John (2013). The (not-so) green shoots of recovery.

Vicol, Dora Olivia, Allen, William (2014). How has the UK national press described Bulgarians and Romanians?

Vis, Farida (2016). Research resilience: why academics and funders alike should care about #RIPTwitter.

Vukovic, Vuk, Lahdelma, Ilona (2017). New election prediction: Macron will win, but the race will be closer than opinion polls suggest.

Wansleben, Leon (2015). What money can’t buy.

Wheatley, Jonathan (2017). The “empty centre”: how voters’ views have polarised since 2015.

Wilkinson, Ellen (2012). The numbers game: LSE Library holdings on India (Part 1). picture_as_pdf

Wilkinson, Ellen (2012). The numbers game: LSE Library holdings on India (Part 2). picture_as_pdf

Wilkinson, Sabrina (2018). Book review: news, numbers and public opinion in a data-driven world edited by An Nguyen.

Wilks-Heeg, Stuart (2010). Do referendums ever resolve constitutional debates?

Wintersieck, Amanda (2017). Real-time fact-checking can change people’s opinion about a candidate, but only if the ratings are decisive.

Wlezien, Christopher (2017). The public may not be getting the policies they want, but it’s very hard to measure what they do want.

Working paper

Alessi, Lucia, Barigozzi, Matteo, Capasso, Marco (2009). Estimation and forecasting in large datasets with conditionally heteroskedastic dynamic common factors. (European Central Bank working paper series). European Central Bank.

Alessi, Lucia, Barigozzi, Matteo, Capasso, Marco (2007). Generalized dynamic factor model + GARCH: exploiting multivariant information for univariate prediction. (LEM working paper series 2006/13). Laboratory of Economics and Management (LEM).

Alistarh, Dan, Grubic, Demjan, Li, Jerry Z., Tomioka, Ryota, Vojnovic, Milan (2017). QSGD: communication-efficient SGD via gradient quantization and encoding. arXiv. picture_as_pdf

Amiel, Yoram, Cowell, Frank, Gaertner, W (2006). To be or not to be involved: a questionnaire-experimental view on Harsanyi's utilitarian ethics. Suntory and Toyota International Centres for Economics and Related Disciplines.

Baltagi, Badi H., Fingleton, Bernard, Pirotte, Alain (2011). Estimating and forecasting with a dynamic spatial panel data model. (SERC Discussion Papers SERCDP095). Spatial Economics Research Centre, London School of Economics and Political Science.

Barigozzi, Matteo, Alessi, Lucia, Capasso, Marco, Fagiolo, Giorgio (2009). The distribution of consumption-expenditure budget shares: evidence from Italian households. (European Central Bank working paper series 1061). European Central Bank.

Barigozzi, Matteo, Brownlees, Christian T., Gallo, Giampiero M., Veredas, David (2010). Disentangling systematic and idiosyncratic risk for large panels of assets. (ECARES working paper 2010‐019). Université Libre de Bruxelles.

Barigozzi, Matteo, Conti, Antonio M. (2010). On the sources of Euro area money demand stability: a time-varying cointegration analysis. (ECARES working paper 2010‐022). Université Libre de Bruxelles.

Barigozzi, Matteo, Fagiolo, Giorgio, Mangioni, Giuseppe (2010). Identifying the community structure of the international-trade multi network. (LEM working paper series 2010/15). Sant'Anna School of Advanced Studies.

Belomestny, Denis, Gapeev, Pavel V. (2006). An iteration procedure for solving integral equations related to optimal stopping problems. (SFB 649 discussion paper). Humboldt-Universität zu Berlin.

Benigno, Gianluca, Converse, Nathan, Fornaro, Luca (2015). Large capital inflows, sectoral allocation andeconomic performance. (CEP Discussion Papers CEPDP1348). London School of Economics and Political Science. Centre for Economic Performance.

Born, Benjamin, Müller, Gernot J., Schularick, Moritz, Sedlacek, Petr (2017). The economic consequences of the Brexit Vote. (CFM Discussion Paper Series CFM-DP2017-38). Centre For Macroeconomics.

Boumans, Marcel (2007). Battle in the planning office: biased experts versus normative statisticians. (Working papers on the nature of evidence: how well do 'facts' travel? 16/07). Department of Economic History, London School of Economics and Political Science.

Bruno, Randolph Luca, Campos, Nauro, Estrin, Saul, Tian, Meng (2017). Economic integration, foreign investment and international trade: the effects of membership of the European Union. (CEP Discussion Papers CEPDP1518). London School of Economics and Political Science. Centre for Economic Performance.

Clarke, Paul, Crawford, Claire, Steele, Fiona, Vignoles, Anna (2010). The choice between fixed and random effects models: some considerations For educational research. (Working papers 10/240). Centre for Market and Public Organisation (University of Bristol).

Colcerasa, Francesco, Giammei, Lorenzo, Subioli, Francesca (2025). The network of injustice: a novel approach to inequality of opportunity. (III Working Paper 150). International Inequalities Institute, London School of Economics and Political Science. https://doi.org/10.21953/lse.mgz7nuymggcl picture_as_pdf

Corsetti, Giancarlo, Crowley, Meredith, Han, Lu, Song, Huasheng (2018). Markets and markups: a new empirical framework and evidence on exporters from China. (CFM Discussion Paper Series CFM-DP2018-03). Centre For Macroeconomics.

Cowell, Frank (2006). Inequality: measurement. Suntory and Toyota International Centres for Economics and Related Disciplines.

Cowell, Frank, Jenkins, Stephen P (2000). Estimating welfare indices : household weights and sample design. (Distributional Analysis Research Programme; DARP 48 48). Suntory and Toyota International Centres for Economics and Related Disciplines.

Cowell, Frank, Karagiannaki, Eleni, McKnight, Abigail (2013). The relative role of socio-economic factors in explaining the changing distribution of wealth in the US and the UK. (GINI Discussion Paper 85). London School of Economic and Political Science.

Cowell, Frank, Litchfield, Julie, Mercader-Prats, Magda (1999). Income inequality comparisons with dirty data: the UK and Spain during the 1980s. (Distributional Analysis Research Programme; DARP 45 45). Suntory and Toyota International Centres for Economics and Related Disciplines.

Cowell, Frank, Schluter, Christian (1998). Measuring income mobility with dirty data. (CASEpaper CASE/16). Centre for Analysis of Social Exclusion.

Cowell, Frank, Victoria-Feser, Maria-Pia (2001). Distributional dominance with dirty data. (Distributional Analysis Research Programme; DARP 51 51). Suntory and Toyota International Centres for Economics and Related Disciplines.

Cowell, Frank, Victoria-Feser, Maria-Pia (1994). Robustness properties of poverty indices. (DARP 8). Suntory and Toyota International Centres for Economics and Related Disciplines.

Cowell, Frank, Victoria-Feser, Maria-Pia (1998). Statistical inference for Lorenz curves with censored data. (Distributional Analysis Research Programme; DARP 35 35). Suntory and Toyota International Centres for Economics and Related Disciplines.

Cowell, Frank, Victoria-Feser, Maria-Pia (1999). Statistical inference for welfare under complete and incomplete information. (Distributional Analysis Research Programme; DARP 47 47). Suntory and Toyota International Centres for Economics and Related Disciplines.

Cowell, Frank, Victoria-Feser, Maria-Pia (1996). Welfare judgements in the presence of contaminated data. (Distributional Analysis Research Programme; DARP 13). Suntory and Toyota International Centres for Economics and Related Disciplines.

Cribeiro-Ramallo, Jose, Aich, Agnideep, Kalinke, Florian, Baran Aich, Ashit, Szabo, Zoltan (2025). The minimax lower bound of kernel Stein discrepancy estimation. arXiv. picture_as_pdf

Dassios, Angelos (2006). Quantiles of Lévy processes and applications in finance. Department of Statistics, London School of Economics and Political Science.

Dassios, Angelos, Nagaradjasarma, Jayalaxshmi (2011). Pricing of Asian options on interest rates in the CIR model. Department of Statistics, London School of Economics and Political Science.

Dassios, Angelos, Wu, Shanle (2011). Barrier strategies with Parisian delay. Department of Statistics, London School of Economics and Political Science.

Dassios, Angelos, Wu, Shanle (2011). Brownian excursions in a corridor and related Parisian options. Department of Statistics, London School of Economics and Political Science.

Dassios, Angelos, Wu, Shanle (2011). Brownian excursions outside a corridor and two-sided Parisian options. Department of Statistics, London School of Economics and Political Science.

Dassios, Angelos, Wu, Shanle (2008). Parisian ruin with exponential claims. Department of Statistics, London School of Economics and Political Science.

Dassios, Angelos, Wu, Shanle (2008). Ruin probabilities of the Parisian type for small claims. Department of Statistics, London School of Economics and Political Science.

Deng, Kent (2003). Fact or fiction? Re-examination of Chinese premodern population statistics. (Economic History Working Papers 76/03). Department of Economic History, London School of Economics and Political Science.

Dini, Paolo (2021). Notes on the Exponential Random Graph Model: a contribution to the critique of interdisciplinarity. London School of Economics and Political Science. picture_as_pdf

Duursma, Allard, Twagiramungu, Noel, Gebrehiwot Berhe, Mulugeta, De Waal, Alex (2019). Introducing the transnational conflict in Africa dataset. (Ocacasional Paper 20). World Peace Foundation. picture_as_pdf

Fingleton, Bernard (2008). Testing the NEG model: further evidence from panel data. (SERC Discussion Papers SERCDP0005). Spatial Economics Research Centre (SERC), London School of Economics and Political Science.

Fingleton, Bernard, Gómez-Antonio, Miguel (2009). Analysing the impact of public capital stock using the NEG wage equation: a panel data approach. (SERC Discussion Papers SERCDP0024). Spatial Economics Research Centre (SERC), London School of Economics and Political Science.

Gutiérrez Sanín, Francisco (2009). The quandaries of coding and ranking: evaluating poor state performance indexes. (Crisis States Research Centre working papers series 2 58). Crisis States Research Centre, London School of Economics and Political Science.

Gutiérrez Sanín, Francisco, González Peña, Andrea (2009). Force and ambiguity: evaluating sources for cross-national research – the case of military interventions. (Crisis States Research Centre working papers series 2 50). Crisis States Research Centre, London School of Economics and Political Science.

Hajivassiliou, Vassilis (2019). Estimation and specification testing of panel data models with non-ignorable persistent heterogeneity, contemporaneous and intertemporal simultaneity and observable and unobservable dynamics. Suntory and Toyota International Centres for Economics and Related Disciplines. picture_as_pdf

Hidalgo, Javier (2003). An alternative bootstrap to moving blocks for time series regression models. (EM 452). Suntory and Toyota International Centres for Economics and Related Disciplines.

Huang, Hanwei, Ottaviano, Gianmarco Ireo Paolo (2023). Rethinking revealed comparative advantage with micro and macro data. (CEP Discussion Papers CEPDP1964). London School of Economics and Political Science. Centre for Economic Performance. picture_as_pdf

Karagiannaki, Eleni (2017). The empirical relationship between income poverty and income inequality in rich and middle income countries. (CASE Papers 206). London School of Economics and Political Science. picture_as_pdf

Kolsrud, Jonas, Landais, Camille, Nilsson, Peter, Spinnewijn, Johannes (2015). The optimal timing of UI benefits: theory and evidencefrom Sweden. (CEP Discussion Papers CEPDP1361). London School of Economics and Political Science. Centre for Economic Performance.

Lam, Clifford (2008). Estimation of large precision matrices through block penalization. Cornell University.

Manning, Alan, Mazeine, Graham (2024). Should I stay or should I go? Return migration from the United States. (CEP Discussion Papers CEPDP1980). London School of Economics and Political Science. Centre for Economic Performance. picture_as_pdf

Mencia, Javier, Leon, Angel, Sentana, Enrique (2007). Parametric properties of semi-nonparametric distributions, with applications to option valuation. (Financial Markets Group Discussion Papers 597). Financial Markets Group, The London School of Economics and Political Science. picture_as_pdf

Morgan, Mary S. (2020). Inducing visibility and visual deduction. (Economic History Working Papers 306). London School of Economics and Political Science. picture_as_pdf

Morrow, John (2014). Benford's Law, families of distributions and a test basis. (CEP Discussion Papers CEPDP1291). London School of Economics and Political Science. Centre for Economic Performance.

Nathan, Laurie (2005). ‘The frightful inadequacy of most of the statistics’: a critique of Collier and Hoeffler on causes of civil war. (Crisis States Research Centre discussion papers 11). Crisis States Research Centre, London School of Economics and Political Science.

Olivera, Javier, Schokkaert, Erik, van Kerm, Philippe (2024). The role of information in eliciting support for inheritance taxation. (III Working Paper 157). International Inequalities Institute, London School of Economics and Political Science. picture_as_pdf

Oparina, Ekaterina, Kaiser, Caspar, Gentile, Niccoló, Tkatchenko, Alexandre, Clark, Andrew E., De Neve, Jan-Emmanuel, D'Ambrosio, Conchita (2022). Human wellbeing and machine learning. (CEP Discussion Papers 1863). London School of Economics and Political Science. Centre for Economic Performance. picture_as_pdf

Oulton, Nicholas (2018). GDP and the system of national accounts: past, present and future. (CFM Discussion Paper Series CFM-DP2018-02). Centre For Macroeconomics.

Oulton, Nicholas (2004). A statistical framework for the analysis of productivity and sustainable development. (CEPDP CEPDP0629). London School of Economics and Political Science. Centre for Economic Performance.

Paccoud, Antoine (2013). Country of birth in the 2011 Census: a view of migration in London and English local authorities. (Ordinary streets working papers). LSE Cities programme.

Rabe-Hesketh, Sophia, Skrondal, Anders, Pickles, Andrew (2004). GLLAMM manual. (U.C. Berkeley Division of Biostatistics working paper series 160). Division of Biostatistics, University of California at Berkeley.

Redding, Stephen, Weinstein, David E. (2019). Aggregation and the gravity equation. (CEP Discussion Papers 1595). London School of Economics and Political Science. Centre for Economic Performance. picture_as_pdf

Roses, Joan R., Wolf, Nikolaus (2018). Regional economic development in Europe, 1900-2010: a description of the patterns. (Economic History working papers 278/2018). London School of Economics and Political Science.

Song, Jae, Price, David J., Guvenen, Fatih, Bloom, Nick (2015). Firming up inequality. (CEP Discussion Papers CEPDP1354). London School of Economics and Political Science. Centre for Economic Performance.

Steele, Fiona (2005). Event history analysis. National Centre for Research Methods.

Sturgis, Patrick, Berrington, Ann, Smith, Peter W. F. (2006). An overview of methods for the analysis of panel data. (NCRM Methods Review Papers NCRM/007). Economic and Social Research Council (Great Britain).

Sturgis, Patrick, Tilley, James (2004). Political sophistication and issue voting: an intra-individual level analysis. (ESRC Research Methods Programme Working Paper 15). University of Manchester.

Blog post

Aula, Ville (15 May 2020) The public debate around COVID-19 demonstrates our ongoing and misplaced trust in numbers. Impact of Social Sciences Blog. picture_as_pdf

Ferreira, Francisco H. G. (26 March 2024) Do we even know how much income inequality there is? LSE Inequalities. picture_as_pdf

Frank, Mark (4 June 2015) Unless we change the way we think about transparency, open data is unlikely to have a significant political impact at the local level. Democratic Audit Blog. picture_as_pdf

Gibbons, Stephen (14 July 2011) Crime nudge. Spatial Economics Research Centre Blog. picture_as_pdf

Lehoucq, Fabrice, Kolev, Kiril (19 May 2015) Electoral fraud is less common in proportional representation systems than it is in plurality systems. Democratic Audit Blog. picture_as_pdf

McKone Leonard, Mariel (20 February 2022) Book review: Data practices: making up a European people by Evelyn Ruppert and Stephan Scheel. LSE European Politics and Policy (EUROPP) blog. picture_as_pdf

McKone Leonard, Mariel (19 January 2022) Book review: Data practices: making up a European people by Evelyn Ruppert and Stephan Scheel. LSE Review of Books. picture_as_pdf

Meagher, Kate (19 May 2023) African paradox or poor numbers? Informality, COVID-19, and the decolonization of statistics. International Development. picture_as_pdf

Nagel, Robert Ulrich (11 March 2019) Data on gender, WPS, and why counting women is not good enough. Women, Peace and Security. picture_as_pdf

Osipenko, Leeza (2 April 2020) The Locked-down: we need more than headline statistics to understand the impact of Covid-19. Impact of Social Sciences Blog. picture_as_pdf

Spiegelhalter, David, Masters, Anthony (25 April 2022) COVID in statistics: numbers do not speak for themselves. LSE COVID-19 Blog. picture_as_pdf

Weihmayer, Melissa, Le Voir, Rosanna, Cardona-Fox, Gabriel (5 May 2022) Data with a purpose? Reflecting on the UN High Level Panel on Internal Displacement's recommendation on IDP data. Researching Internal Displacement blog.

Worthy, Ben, Langehennig, Stefanie (1 June 2020) How data-driven democracy both helps and hinders politics. British Politics and Policy at LSE. picture_as_pdf