Items where department is "Statistics"

University Structure (106352) LSE (106352) Academic Departments (62972) Statistics (1721)
Number of items: 66.
None
  • 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
  • Calmon, Wilson, Ferioli, Eduardo, Lettieri, Davi, Soares, Johann, Pizzinga, Adrian (2021). An Extensive Comparison of Some Well-Established Value at Risk Methods. International Statistical Review, 89(1), 148-166. https://doi.org/10.1111/insr.12393
  • 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
  • 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
  • Raj, Ashok S., Cobain, Charlotte, Abbott, Tom E.F., Cron, Nicholas (2021). Abstinence from alcohol consumption and exercise capacity: a pre and post intervention cohort study. Journal of Perioperative Practice, 31(3), 89-95. https://doi.org/10.1177/1750458919889879
  • 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
    • Public
  • 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, 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
  • Blaser, Rico (2021). Random rotations in machine learning [Doctoral thesis]. London School of Economics and Political Science.
  • 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
  • Burchardt, Tania, Steele, Fiona, Grundy, Emily, Karagiannaki, Eleni, Kuha, Jouni, Moustaki, Irini, Skinner, Chris, Zhang, Nina, Zhang, Siliang (2021). Welfare within families beyond households: intergenerational exchanges of practical and financial support in the UK. LSE Public Policy Review, 2(1). https://doi.org/10.31389/lseppr.41 picture_as_pdf
  • Bynum, Lucius, Loftus, Joshua, Stoyanovich, Julia (2021). Disaggregated interventions to reduce inequality. In Proceedings of 2021 ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, EAAMO 2021 . Association for Computing Machinery. https://doi.org/10.1145/3465416.3483286 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
  • 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
  • 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
  • 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
  • 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
  • Chen, Cheng (2021). Autocovariance-based statistical inference for high-dimensional function/scalar time series [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004392
  • Chen, Wendong, Cheng, Long, Chen, Xuewu, Chen, Jingxu, Cao, Mengqiu (2021). Measuring accessibility to health care services for older bus passengers: a finer spatial resolution. Journal of Transport Geography, 93, https://doi.org/10.1016/j.jtrangeo.2021.103068 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, 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
  • Cheng, Long, Shi, Kunbo, De Vos, Jonas, Cao, Mengqiu, Witlox, Frank (2021). Examining the spatially heterogeneous effects of the built environment on walking among older adults. Transport Policy, 100, 21 - 30. https://doi.org/10.1016/j.tranpol.2020.10.004 picture_as_pdf
  • Dang, Viet (2021). Infinite horizon stochastic differential utility of Epstein-Zin type [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004282
  • 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
  • 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., Granjo, José F.O., Oliveira, Nuno M.C. (2021). Optimal design of mixture experiments for general blending models. Chemometrics and Intelligent Laboratory Systems, 217, https://doi.org/10.1016/j.chemolab.2021.104400 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
  • 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
  • Fellmann, Reinhard (2021). Essays in tail risk and asset pricing in credit markets [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004404
  • 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
  • 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
  • Haimovich, Daniel, Karamshuk, Dima, Leeper, Thomas J., Riabenko, Evgeniy, Vojnovic, Milan (2021). Popularity prediction for social media over arbitrary time horizons. Proceedings of the VLDB Endowment, 15(4), 841 - 849. https://doi.org/10.14778/3503585.3503593 picture_as_pdf
  • 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
  • Koukounari, Artemis, Md Jamil, Haziq, Erosheva, Elena, Shiff, Clive, Moustaki, Irini (2021). Latent class analysis: insights about design and analysis of schistosomiasis diagnostic studies. PLoS Neglected Tropical Diseases, 15(2). https://doi.org/10.1371/journal.pntd.0009042 picture_as_pdf
  • 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
  • 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
  • Lee, Dabeen, Vojnovic, Milan (2021). Scheduling jobs with stochastic holding costs. In Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (Eds.), Advances in Neural Information Processing Systems 34 (pp. 19375-19384). Neural Information Processing Systems Foundation. picture_as_pdf
  • 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
  • Ling, Yantao, Xia, Senmao, Cao, Mengqiu, He, Kerun, Lim, Ming K., Sukumar, Arun, Yi, Huiyong, Qian, Xiaoduo (2021). Carbon emissions in China's thermal electricity and heating industry: an input-output structural decomposition analysis. Journal of Cleaner Production, 329, https://doi.org/10.1016/j.jclepro.2021.129608 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
  • Pedraza Ramírez, José Manuel (2021). Optimal prediction problems and the last zero of spectrally negative Lévy processes [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004257
  • 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
  • Pignatelli di Cerchiara, Alice (2021). Pricing financial and insurance products in the multivariate setting [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004296
  • Qu, Yan, Dassios, Angelos, Zhao, Hongbiao (2021). Exact simulation of Ornstein-Uhlenbeck tempered stable processes. Journal of Applied Probability, 58(2), 347 - 371. https://doi.org/10.1017/jpr.2020.92 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
  • 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
  • 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, 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, 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, Xu, Tianlin, Bergsma, Wicher, Li, Lexin (2021). Double generative adversarial networks for conditional independence testing. Journal of Machine Learning Research, picture_as_pdf
  • 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
  • Swift, Antony, Cheng, Long, Loo, Becky P.Y., Cao, Mengqiu, Witlox, Frank (2021). Step-free railway station access in the UK: the value of inclusive design. European Transport Research Review, 13(1). https://doi.org/10.1186/s12544-021-00504-3 picture_as_pdf
  • 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
  • Tsokani, Sofia, Antoniou, Stavros A., Moustaki, Irini, López-Cano, Manuel, Antoniou, George A., Flórez, Ivan D., Silecchia, Gianfranco, Markar, Sheraz, Stefanidis, Dimitrios & Zanninotto, Giovanni et al (2021). Guideline assessment project II: statistical calibration informed the development of an AGREE II extension for surgical guidelines. Surgical Endoscopy, 35(8), 4061 – 4068. https://doi.org/10.1007/s00464-021-08604-w 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, 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
  • Vamvourellis, Konstantinos (2021). Bayesian inference methods for latent variable modelling [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004380
  • 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
  • Wu, Meiling, Gao, Xing, Cao, Mengqiu, Papa, Enrica, Zhu, Xiaoxian (2021). The changes of intergovernmental collaboration dynamic in post-disaster destination management: network analysis. Journal of Hospitality and Tourism Management, 48, 32 - 45. https://doi.org/10.1016/j.jhtm.2021.05.006 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
  • 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
  • Yang, Yilin, Cao, Mengqiu, Cheng, Long, Zhai, Keyu, Zhao, Xu, De Vos, Jonas (2021). Exploring the relationship between the COVID-19 pandemic and changes in travel behaviour: a qualitative study. Transportation Research Interdisciplinary Perspectives, 11, https://doi.org/10.1016/j.trip.2021.100450 picture_as_pdf
  • Yuen, Lok Ting (2021). High-dimensional variable selection and time series classification and forecasting with potential change-points [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004237
  • Zhang, Junyi (2021). Parisian times, Bessel processes and Poisson-Dirichlet random variables [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004291
  • Zhang, Yuerong, Marshall, Stephen, Cao, Mengqiu, Manley, Ed, Chen, Huanfa (2021). Discovering the evolution of urban structure using smart card data: the case of London. Cities, 112, https://doi.org/10.1016/j.cities.2021.103157 picture_as_pdf