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Journal of the Royal Statistical Society. Series B, Statistical Methodology|July 31, 2023
Correction to: Autoregressive optimal transport modelsJournal of the Royal Statistical Society. Series B, Statistical Methodology|April 8, 2024
Image response regression via deep neural networksDaiwei Zhang, Lexin Li, Chandra Sripada, et al.Journal of the Royal Statistical Society. Series B, Statistical Methodology|October 19, 2023
Testing and Confidence Intervals for High Dimensional Proportional Hazards ModelEthan X Fang, Yang Ning, Han LiuJournal of the Royal Statistical Society. Series B, Statistical Methodology|August 18, 2023
Estimating the Efficiency Gain of Covariate-Adjusted Analyses in Future Clinical Trials Using External DataXiudi Li, Sijia Li, Alex LuedtkeJournal of the Royal Statistical Society. Series B, Statistical Methodology|May 4, 2026
Causal K-Means ClusteringKwangho Kim, Jisu Kim, Edward H KennedyJournal of the Royal Statistical Society. Series B, Statistical Methodology|June 28, 2016
Globally efficient non-parametric inference of average treatment effects by empirical balancing calibration weightingKwun Chuen Gary Chan, Sheung Chi Phillip Yam, Zheng ZhangJournal of the Royal Statistical Society. Series B, Statistical Methodology|July 16, 2026
Federated feature selection with false discovery rate controlJie Hu, Jiayi Tong, Yang Ning, et al.Journal of the Royal Statistical Society. Series B, Statistical Methodology|July 16, 2026
Multi-task learning for sparsity pattern heterogeneity: statistical and computational perspectivesKayhan Behdin, Gabriel Loewinger, Kenneth T Kishida, et al.Journal of the Royal Statistical Society. Series B, Statistical Methodology|August 14, 2026
Pretraining and the lassoErin Craig, Mert Pilanci, Thomas Le Menestrel, et al.Pageof 16