Items where department is "Statistics"

University Structure (106206) LSE (106206) Academic Departments (62869) Statistics (1716)
Number of items: 101.
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  • Abdey, James (13 June 2025) How to master data visualisation for impactful storytelling. Impact of Social Sciences Blog. picture_as_pdf
  • 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
  • Anupriya, McCoy, Emma, Graham, Daniel J. (2025). Evaluation of the causal impact of recreational marijuana legalisation on traffic safety in the US. Accident Analysis and Prevention, 220, https://doi.org/10.1016/j.aap.2025.108106 picture_as_pdf
  • Anupriya, McCoy, Emma, Graham, Daniel J. (2025). Understanding the scaling of transport energy use with operational density. npj Sustainable Mobility and Transport, 2(1). https://doi.org/10.1038/s44333-025-00057-1 picture_as_pdf
  • Anupriya, Zhu, Xiaowei, McCoy, Emma, Graham, Daniel J. (2025). Safe streets for cyclists? Quantifying the causal impact of cycling infrastructure interventions on safety. Accident Analysis and Prevention, 220, https://doi.org/10.1016/j.aap.2025.108168 picture_as_pdf
  • Atkinson, Anthony C., Riani, Marco, Corbellini, Aldo, Perrotta, Domenico, Todorov, Valentin (2025). Robust statistics through the monitoring approach: applications in regression. Springer. https://doi.org/10.1007/978-3-031-88365-1 picture_as_pdf
  • Behnamnia, Armin, Aminian, Gholamali, Aghaei, Alireza, Shi, Chengchun, Tan, Vincent Y. F., R. Rabiee, Hamid (2025). Log-sum-exponential estimator for off-policy evaluation and learning. Proceedings of Machine Learning Research, 267, picture_as_pdf
  • 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
  • Borges, Dérick G. F., Coutinho, Eluã R., Jorge, Daniel C. P., Barreto, Marcos E., Ramos, Pablo I. P., Barral-Netto, Manoel, Coutinho, Alvaro L. G. A., Landau, Luiz, Pinho, Suani T. R., Andrade, Roberto F. S. (2025). An integrated framework for modelling respiratory disease transmission and designing surveillance networks using a sentinel index. Royal Society Open Science, 12(9). https://doi.org/10.1098/rsos.251195 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
  • Duarte, Belmiro P.M., Atkinson, Anthony C., Oliveira, Nuno M.C. (2025). Model robust designs for dose-response models. Biometrics, 81(3). https://doi.org/10.1093/biomtc/ujaf112
  • 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., 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
  • Glyn-Davies, Alex, Duffin, Connor, Kazlauskaite, Ieva, Girolami, Mark, Akyildiz, Ö. Deniz (2025). Statistical finite elements via interacting particle Langevin dynamics. SIAM/ASA Journal on Uncertainty Quantification, 13(3), 1200 - 1227. https://doi.org/10.1137/24m1693593 picture_as_pdf
  • 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
  • Lawrence, Daryl, Avraham, Guy, Yao, Jiaang, Li, Lexin, Shi, Chengchun, Starr, Philip A, Little, Simon J (2025). Cortico-basal oscillations index naturalistic movements during deep brain stimulation. Brain, https://doi.org/10.1093/brain/awaf466 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., 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
  • Williams, C. Rosie, Thodoroff, Pierre, Arthern, Robert J., Byrne, James, Hosking, J. Scott, Kaiser, Markus, Lawrence, Neil D., Kazlauskaite, Ieva (2025). Calculations of extreme sea level rise scenarios are strongly dependent on ice sheet model resolution. Communications Earth and Environment, 6(1). https://doi.org/10.1038/s43247-025-02010-z picture_as_pdf
  • Wu, Xiangkun, Li, Ting, Aminian, Gholamali, Behnamnia, Armin, R. Rabiee, Hamid, Shi, Chengchun (2025-11-30 - 2025-12-07) Pessimistic data integration for policy evaluation [Paper]. 39th Conference on Neural Information Processing Systems. picture_as_pdf
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  • 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
  • Bergsma, Wicher, Lupparelli, Monia (2025). Editorial for special issue on categorical data analysis. Metrika, 88(6), 735 - 737. https://doi.org/10.1007/s00184-025-00999-z
  • 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
  • Bouranis, Lampros, Demiris, Nikolaos, Kalogeropoulos, Konstantinos, Ntzoufras, Ioannis (2025). Bayesian analysis of diffusion-driven multi-type epidemic models with application to COVID-19. Journal of the Royal Statistical Society. Series A: Statistics in Society, https://doi.org/10.1093/jrsssa/qnaf130
  • Brokmann, Xavier, Itkin, David, Muhle-Karbe, Johannes, Schmidt, Peter (2025). Tackling nonlinear price impact with linear strategies. Mathematical Finance, 35(2), 422 - 440. https://doi.org/10.1111/mafi.12449 picture_as_pdf
  • 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
  • Gascoigne, Connor, Jeffery, Annie, Rotous, Ioannis, Yu, Xuewen, Geneletti, Sara, Davies, Bethan, Baio, Gianluca, Kirkbride, James B., Pitman, Alexandra, Blangiardo, Marta (2025). Spatio-temporal trends and socio-environmental determinants of suicides in England (2002–2022): an ecological population-based study. The Lancet Regional Health - Europe, 56, https://doi.org/10.1016/j.lanepe.2025.101386 picture_as_pdf
  • Haimovich, Daniel, Karamshuk, Dima, Linder, Fridolin, Tax, Niek, Vojnovic, Milan (2025). On the convergence of loss and uncertainty-based active learning algorithms. In Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J., Zhang, C. (Eds.), Advances in Neural Information Processing Systems .
  • Jackson, Jonathan, Kuha, Jouni, Bradford, Ben, Hough, Mike (2025). Why do people cooperate with the police and criminal courts? A test of procedural justice theory in 30 countries. Criminology, https://doi.org/10.1111/1745-9125.70022 picture_as_pdf
  • 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
  • Sallai, Dorottya, Cardoso Silva, Jon, Barreto, Marcos, Kearney, Casey (6 May 2025) Generative AI in education: reshaping the future of learning. Management. picture_as_pdf
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  • 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
  • Cen, Zetai (2025). High-dimensional time series analysis: imputation and testing Kronecker product structure on tensor factor models, main effect factor models, and spatial autoregressive models [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004881
  • Cen, Zetai, Chen, Yudong, Lam, Clifford (2025). Inference on dynamic spatial autoregressive models with change point detection. Journal of Business and Economic Statistics, https://doi.org/10.1080/07350015.2025.2572768 picture_as_pdf
  • Cen, Zetai, Lam, Clifford (2025). On testing Kronecker product structure in tensor factor models. Biometrika, https://doi.org/10.1093/biomet/asaf072 picture_as_pdf
  • 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
  • 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, Danilova, Albina (2025). Order routing and market quality who benefits from internalization? Mathematical Finance, https://doi.org/10.1111/mafi.70014 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, picture_as_pdf
  • Chen, Xuanyu, Zhu, Jin, Zhu, Junxian, Wang, Xueqin, Zhang, Heping (2025). Reconstruct Ising Model with global optimality via SLIDE. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2025.2571245
  • Chen, Yunxiao, Li, Xiaoou, Liu, Jingchen, Ying, Zhiliang (2025). Rejoinder: Item response theory—a statistical framework for educational and psychological measurement. Statistical Science, 40(2), 205 - 210. https://doi.org/10.1214/25-sts974
  • 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, 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
  • 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
  • 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
  • Han, Yuting, Ji, Feng, Chen, Yunxiao, Gan, Kaiyu, Liu, Hongyun (2025). Analyzing group differences and measurement fairness in process data: a sequential response model with covariates. Methodology, 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
  • 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
  • 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
  • Mignemi, Giuseppe, Chen, Yunxiao, Moustaki, Irini (2025). Statistical analysis of peer grading: a latent variable approach. In Pollice, Alessio, Mariani, Paolo (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
  • 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
  • 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
  • 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
  • Younes, Younes R, Cron, Nicholas, Field, Benjamin CT, Lam, Virginia Yuk-Chun, Sen, Ashwin Delmonte, Nayyar, Vidhu, Clark, James, Zachariah, Sunil, Lakshmipathy, Kavitha & Yang, Lisa et al (2025). Utilising national early warning score as a track and trigger mechanism in hospital-at-home care for acutely ill patients. Digital Health, 11, https://doi.org/10.1177/20552076251351374 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
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  • Qu, Yan, Dassios, Angelos, Liu, Anxin, Zhao, Hongbiao (2025). Exact simulation of quadratic intensity models. Informs Journal on Computing, 37(5), 1182 - 1201. https://doi.org/10.1287/ijoc.2023.0323 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, 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
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  • 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. picture_as_pdf
  • 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
  • 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
  • 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
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  • Gambara, Matteo, Livieri, Giulia, Pallavicini, Andrea (2025). Machine-learning regression methods for American-style path-dependent contracts. Quantitative Finance, 25(6), 895 - 918. https://doi.org/10.1080/14697688.2025.2517272 picture_as_pdf
  • Guilfoyle, Eoin, Pina Sanchez, Jose, Geneletti, Sara (9 April 2025) Ethnic disparities in sentencing and the perception of fairness. British Politics and Policy at LSE. picture_as_pdf
  • Pina‐Sánchez, Jose, Morales, Ana, Guilfoyle, Eoin, Veiga, Ana, Geneletti, Sara (2025). Testing the interrelationship between area deprivation and ethnic disparities in sentencing. Analyses of Social Issues and Public Policy, 25(1). https://doi.org/10.1111/asap.12446 picture_as_pdf
  • Zhou, Hongyi, Zhu, Jin, Su, Pingfan, Ye, Kai, Yang, Ying, Gavioli Akilagun, Shakeel, Shi, Chengchun (2025-11-30 - 2025-12-07) AdaDetectGPT: adaptive detection of LLM-generated text with statistical guarantees [Paper]. 39th Conference on Neural Information Processing Systems. picture_as_pdf
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  • Hambly, Ben, Meier, Julian, Sojmark, Andreas (2025). An SPDE with Robin-type boundary for a system of elastically killed diffusions on the positive half-line. Stochastic Processes and Their Applications, 179, https://doi.org/10.1016/j.spa.2024.104520 picture_as_pdf
  • 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
  • Hao, Sixing (2025). Latent structure estimation for high-dimensional dependent data via eigenanalysis [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004859
  • Hu, Liyuan, Wang, Jitao, Wu, Zhenke, Shi, Chengchun (2025). Generalized fitted Q-iteration with clustered data. Stat, 14(4). https://doi.org/10.1002/sta4.70112 picture_as_pdf
  • 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
  • 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
  • Zhou, Hongyi, Hanna, Josiah P., Zhu, Jin, Yang, Ying, Shi, Chengchun (2025). Demystifying the paradox of importance sampling with an estimated history-dependent behavior policy in off-policy evaluation. In Proceedings of the 42nd International Conference on Machine Learning . ACM Press. picture_as_pdf
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  • Jamil, Haziq (2025). A spatio-temporal analysis of house prices in Brunei Darussalam. Quality and Quantity, 59(6), 5089 - 5120. https://doi.org/10.1007/s11135-025-02164-0 picture_as_pdf
  • 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
  • Jiang, Binyan, Leng, Chenlei, Yan, Ting, Yao, Qiwei, Yu, Xinyang (2025). A two-way heterogeneity model for dynamic networks. Annals of Statistics, 53(6), 2617 - 2641. https://doi.org/10.1214/25-aos2557 picture_as_pdf
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  • Kalinke, Florian, Szabo, Zoltan, Sriperumbudur, Bharath K. (2025). Nyström Kernel Stein Discrepancy. Proceedings of Machine Learning Research, 258, 388 - 396. picture_as_pdf
  • Kardaras, Constantinos (2025). Financial equilibrium with preference updating. Mathematics and Financial Economics, 19(4), 851 - 875. https://doi.org/10.1007/s11579-025-00404-3 picture_as_pdf
  • Kostic, Anica, Runge, Vincent, Truong, Charles (2025). Change point detection in Hadamard spaces by alternating minimization. Proceedings of Machine Learning Research, 258, 1963-1971.
  • Lyrvall, Johan, Kuha, Jouni, Oser, Jennifer (2025). Two-step multilevel latent class analysis in the presence of measurement non-equivalence. Structural Equation Modeling, 32(4), 678 - 687. https://doi.org/10.1080/10705511.2025.2490946 picture_as_pdf
  • Uehara, Masatoshi, Shi, Chengchun, Kallus, Nathan (2025). A review of off-policy evaluation in reinforcement learning. Statistical Science, picture_as_pdf
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  • 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
  • Lee, Arthur (2025). Latent variable modelling and statistical analysis for high-dimensional data [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004941
  • Liu, Xinyi (2025). Towards more interpretable factor analysis: a focus on sparsity and uncertainty [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004894
  • 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
  • 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
  • Zhu, Jin, Li, Jingyi, Zhou, Hongyi, Lin, Yinan, Lin, Zhenhua, Shi, Chengchun (2025). Balancing interference and correlation in spatial experimental designs: a causal graph cut approach. In Proceedings of the 42nd International Conference on Machine Learning . ACM Press. picture_as_pdf
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  • Toth, Csaba, Oberhauser, Harald, Szabo, Zoltan (2025). Random Fourier signature features. SIAM Journal on Mathematics of Data Science, 7(1), 329 - 354. https://doi.org/10.1137/23M1620478 picture_as_pdf
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  • Pavlis, Alexandros (2025). Multi-agent production equilibrium models with expansion [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004939
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  • 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 picture_as_pdf
  • 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. picture_as_pdf
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  • 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
  • Wang, Weichen, Shi, Chengchun (2025). From authors to reviewers: leveraging rankings to improve peer review. Journal of the American Statistical Association, picture_as_pdf
  • Wen, Qianglin, Shi, Chengchun, Yang, Ying, Tang, Niansheng, Zhu, Hongtu (2025). Unraveling the interplay between carryover effects and reward autocorrelations in switchback experiments. In Proceedings of the 42nd International Conference on Machine Learning . ACM Press. picture_as_pdf
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  • 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
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  • 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
  • Wynn, Henry P., Zhigljavsky, Anatoly (2025). An exterior algebra approach to generalised variances and cross-covariances. Soft Computing, 29(8), 4247 - 4257. https://doi.org/10.1007/s00500-025-10600-4 picture_as_pdf
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  • Yang, Xuzhi (2025). Applications of optimal transport in multivariate statistics [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004864 picture_as_pdf