Items where department is "Statistics"

University Structure (106206) LSE (106206) Academic Departments (62869) Statistics (1716)
Number of items: 77.
2024
  • Anthropelos, Michail, Kardaras, Constantinos (2024). Price impact under heterogeneous beliefs and restricted participation. Journal of Economic Theory, 215, https://doi.org/10.1016/j.jet.2023.105774 picture_as_pdf
  • Azadkia, Mona, Balabdaoui, Fadoua (2024). Linear regression with unmatched data: a deconvolution perspective. Journal of Machine Learning Research, 25, picture_as_pdf
  • Baranowski, Rafal, Chen, Yining, Fryzlewicz, Piotr (2024). Multiscale autoregression on adaptively detected timescales. Statistica Sinica, picture_as_pdf
  • Barrieu, Pauline, Braun, Alexander, Makariou, Despoina (2024). Catastrophe bonds. In Handbook of Insurance: Volume I: Third Edition (pp. 169-194). Springer Nature. https://doi.org/10.1007/978-3-031-69561-2_6 picture_as_pdf
  • 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
  • Bondi, Alessandro, Livieri, Giulia, Pulido, Sergio (2024). Affine Volterra processes with jumps. Stochastic Processes and Their Applications, 168, https://doi.org/10.1016/j.spa.2023.104264 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
  • Bynum, Lucius E.J., Loftus, Joshua R., Stoyanovich, Julia (2024). A new paradigm for counterfactual reasoning in fairness and recourse. In Larson, Kate (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
  • 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, Hok, Julien (2024). Speeding up the Euler scheme for killed diffusions. Finance and Stochastics, 28(3), 663 - 707. https://doi.org/10.1007/s00780-024-00534-4 picture_as_pdf
  • Cetin, Umut, Larsen, Kasper (2024). Is Kyle’s equilibrium model stable? Mathematics and Financial Economics, 18(4), 623 - 639. https://doi.org/10.1007/s11579-024-00364-0 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, 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
  • 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, Weilin (2024). Factor modelling for tensor time series [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004626
  • 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, 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. (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, Li, Xiaoou (2024). A note on entrywise consistency for mixed-data matrix completion. Journal of Machine Learning Research, 25, 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
  • 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
  • Dadush, Daniel, Huiberts, Sophie, Natura, Bento, Végh, László A. (2024). A scaling-invariant algorithm for linear programming whose running time depends only on the constraint matrix. Mathematical Programming, 204(1-2), 135 – 206. https://doi.org/10.1007/s10107-023-01956-2 picture_as_pdf
  • Duarte, Belmiro P. M., Atkinson, Anthony C., Pedrosa, David, van Munster, Marlena (2024). Compound optimum designs for clinical trials in personalized medicine. Mathematics, 12(19). https://doi.org/10.3390/math12193007 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., 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
  • 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
  • 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
  • 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
  • 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 (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
  • 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
  • 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
  • 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
  • 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
  • Ishida, Sahoko (2024). Statistical modelling with additive Gaussian process priors [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004612
  • Jeffery, Annie, Gascoigne, Connor, Dykxhoorn, Jennifer, Blangiardo, Marta, Geneletti, Sara, Baio, Gianluca, Kirkbride, James B. (2024). The effect of immigration policy reform on mental health in people from minoritised ethnic groups in England: an interrupted time series analysis of longitudinal data from the UK Household Longitudinal Study cohort. The Lancet Psychiatry, 11(3), 183 - 192. https://doi.org/10.1016/S2215-0366(23)00412-1 picture_as_pdf
  • 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
  • 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 (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
  • Kim, Jung-Hun, Vojnovic, Milan, Yun, Se-Young (2024). An adaptive approach for infinitely many-armed bandits under generalized rotting constraints. 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
  • 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, 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
  • Livieri, Giulia, Radi, Davide, Smaniotto, Elia (2024). Pricing transition risk with a jump-diffusion credit risk model: evidences from the CDS market. Review of Corporate Finance, 4(1–2), 177 - 201. https://doi.org/10.1561/114.00000064 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
  • 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, 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
  • 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
  • Machado, Tiago Fernandes, das Chagas Barros Neto, Francisco, de Souza Gonçalves, Marilda, Barbosa, Cynara Gomes, Barreto, Marcos Ennes (2024). Exploring machine learning algorithms in sickle cell disease patient data: a systematic review. PLOS ONE, 19(11). https://doi.org/10.1371/journal.pone.0313315 picture_as_pdf
  • 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
  • Mohammadi, Fatemeh, Pascual-Ortigosa, Patricia, Sáenz-de-Cabezón, Eduardo, Wynn, Henry P. (2024). Overview of the algebraic reliability of binary and multistate k-out-of-n and related systems. In Ram, Mangey (Ed.), Developments in Reliability Engineering (pp. 687 - 730). Elsevier (Firm). https://doi.org/10.1016/B978-0-443-13242-1.00021-7
  • Noah, Abdurafiu Olaiya, Adhikari, Pawan, Liew, Pik Kun (2024). Environmental and social accountability in emerging economies: strategic pressures from and responses to vulnerable local communities. Accounting Forum, https://doi.org/10.1080/01559982.2024.2352190 picture_as_pdf
  • 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
  • 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
  • Sallai, Dorottya, Cardoso Silva, Jon, Barreto, Marcos (22 May 2024) To improve their courses, educators should respond to how students actually use AI. Impact of Social Sciences Blog. picture_as_pdf
  • Sallai, Dorottya, Cardoso-Silva, Jonathan, Barreto, Marcos, Panero, Francesca, Berrada, Ghita, Luxmoore, Sara (2024). Approach generative AI tools proactively or risk bypassing the learning process in higher education. LSE Public Policy Review, 3(3). https://doi.org/10.31389/lseppr.108 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
  • 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
  • Wade, Toby J. (2024). Transformers and tradition: using Generative AI and Deep Learning for financial markets prediction [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004657
  • 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
  • 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
  • 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, 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
  • Wang, Zezhi, Zhu, Junxian, Wang, Xueqin, Zhu, Jin, Peng, Huiyang, Chen, Peng, Wang, Anran, Zhang, Xiaoke (2024). skscope: fast sparsity-constrained optimization in Python. Journal of Machine Learning Research, 25, picture_as_pdf
  • 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
  • Wouters, Olivier J., Kuha, Jouni (2024). Low- and middle-income countries experienced delays accessing new essential medicines, 1982–2024. Health Affairs, 43(10), 1410 - 1419. https://doi.org/10.1377/hlthaff.2024.00089 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
  • Younes, Younes R., Cron, Nicholas, Field, Benjamin C.T., Nayyar, Vidhu, Clark, James, Zachariah, Sunil, Lakshmipathy, Kavitha, Isuga, Jimboy O., Maghsoodi, Negar, Emmanuel, Julian (2024). Proposed treatment strategy for reactive hypoglycaemia. Frontiers in Endocrinology, 15, https://doi.org/10.3389/fendo.2024.1332702 picture_as_pdf
  • Yu, Shuguang, Fang, Shuxing, Peng, Ruixin, Qi, Zhengling, Zhou, Fan, Shi, Chengchun (2024-12-10 - 2024-12-15) Two-way deconfounder for off-policy evaluation in causal reinforcement learning [Paper]. 38th Annual Conference on Neural Information Processing Systems, Vancouver Convention Center, Vancouver, Canada, CAN. 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
  • Zhao, Puyang, Liu, Xinhui, Yue, Zhiyi, Zhao, Qianyu, Liu, Xinzhi, Deng, Yuhui, Wu, Jingjin (2024). DiGAN breakthrough: advancing diabetic data analysis with innovative GAN-based imbalance correction techniques. Computer Methods and Programs in Biomedicine Update, 5, https://doi.org/10.1016/j.cmpbup.2024.100152 picture_as_pdf
  • 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
  • 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