2021

Volume 83, n° 2, April 2021

• Rothenhäusler D, Meinshausen N, Bühlmann P, Peters J. Anchor regression: Heterogeneous data meet causality, pp. 215-246. doi:https://doi.org/10.1111/rssb.12398
• Pu H, Zhang B. Estimating optimal treatment rules with an instrumental variable: A partial identification learning approach, pp. 318-345. doi:https://doi.org/10.1111/rssb.12413
• Noroozi M, Rimal R, Pensky M. Estimation and clustering in popularity adjusted block model, pp. 293-317. doi:https://doi.org/10.1111/rssb.12410
• Yu M, Chen X. Finite sample change point inference and identification for high-dimensional mean vectors, pp. 247-270. doi:https://doi.org/10.1111/rssb.12406
• Xu S, Fan Z. Iterative Alpha Expansion for estimating gradient-sparse signals from linear measurements, pp. 271-292. doi:https://doi.org/10.1111/rssb.12407
• Ferraccioli F, Arnone E, Finos L, Ramsay JO, Sangalli LM. Nonparametric density estimation over complicated domains, pp. 346-368. doi:https://doi.org/10.1111/rssb.12415
• Johansson P, Rubin DB, Schultzberg M. On optimal rerandomization designs, pp. 395-403. doi:https://doi.org/10.1111/rssb.12417
• Kallus N. On the optimality of randomization in experimental design: How to randomize for minimax variance and design-based inference, pp. 404-409. doi:https://doi.org/10.1111/rssb.12412
• Meng K, Eloyan A. Principal manifold estimation via model complexity selection, pp. 369-394. doi:https://doi.org/10.1111/rssb.12416

Volume 83, n° 1, February 2021

• J. D. Godolphin - Construction of blocked factorial designs to estimate main effects and selected two‐factor interactions, pp. 5-29
• Linda S. L. Tan - Use of model reparametrization to improve variational Bayes, pp. 30-57 First
• Dong Xia Ming Yuan - Statistical inferences of linear forms for noisy matrix completion, pp. 58-77
• N. Salvati E. Fabrizi M. G. Ranalli R. L. Chambers - Small area estimation with linked data, pp. 78-107
• Kwang‐Rae Kim Ian L. Dryden Huiling Le Katie E. Severn - Smoothing splines on Riemannian manifolds, with applications to 3D shape space, pp. 108-132
• Ruth Heller Saharon Rosset - Optimal control of false discovery criteria in the two‐group model, pp. 133-155
• Jeremy Heng Arnaud Doucet Yvo Pokern - Gibbs flow for approximate transport with applications to Bayesian computation, pp. 156-187
• Panos Toulis Thibaut Horel Edoardo M. Airoldi - The proximal Robbins–Monro method, pp. 188-212

(résumés n° 1/2021)