Items where Subject is "HA Statistics"

Library of Congress subjects (102591) HA Statistics (1638)
Number of items at this level: 1638.
A
  • Sturgis, Patrick, Bulmer, Martin, Allum, Nick (Eds.) (2009). The secondary analysis of survey data. SAGE Publications.
  • Atkinson, Anthony, Hackl, Peter, Müller, Werner (Eds.) (2001). MODA6 - advances in model-oriented data analysis and experimental design. Physica-Verlag.
  • Amadeus IT Group (2017). Managing every mile. LSE Consulting.
  • Atkinson, Anthony, Bogacka, Barbara, Zhigljavsky, Anatoly (Eds.) (2001). Optimum design: 2000. Kluwer Academic Publishers.
  • 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
  • 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.
  • Abell, Peter (2008). History, case studies, statistics, and causal inference. European Sociological Review, 25(5), 561-567. https://doi.org/10.1093/esr/jcn072
  • Abell, Peter (2011). Singular mechanisms and Bayesian narratives. In Demeulenaere, P. (Ed.), Analytical Sociology and Social Mechanisms . Cambridge University Press.
  • 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
  • Alam, Khurshed (2015). Expanding the reach of microcredit through livelihood mapping: a model.
  • 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).
  • 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, Salamat (2016). Trade costs and potential: removing barriers to growth in Pakistan.
  • 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
  • Alistarh, D., Li, J., Tomioka, R., Vojnovic, Milan (2016-12-10) Quantized stochastic gradient descent: communication versus convergence [Paper]. OPT 2016, Barcelona, Spain, ESP.
  • 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
  • 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..
  • 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
  • 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
  • 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, 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.
  • 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, 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.
  • 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
  • Anonymous (2016). From studying EC455 to a summer internship at the OECD.
  • 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
  • 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
  • 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.
  • 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, 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.
  • 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, 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
  • 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
  • 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
  • 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
  • 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, 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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.
  • 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
  • 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
  • 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
  • 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
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  • 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
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