Journal of the Royal Statistical Society Series B-Statistical Methodol

Papers
(The H4-Index of Journal of the Royal Statistical Society Series B-Statistical Methodol is 21. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)
ArticleCitations
Mark Pilling's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng113
Strategic two-sample test via the two-armed bandit process76
Authors’ reply to the Discussion of ‘From denoising diffusions to denoising Markov models’ at the Discussion Meeting on ‘Probabilistic and statistical aspects of machine learning’61
Seconder of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’54
Catch me if you can: signal localization with knockoff e-values40
Correlation adjusted debiased Lasso: debiasing the Lasso with inaccurate covariate model40
Stefano Rizzelli’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen39
Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen38
Image response regression via deep neural networks35
On Functional Processes with Multiple Discontinuities34
Safe testing33
Yinqiu He, Yuqi Gu and Zhilian Ying's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng32
Issue Information28
Corrected generalized cross-validation for finite ensembles of penalized estimators27
SymmPI: predictive inference for data with group symmetries26
Isadora Antoniano Villalobos's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker22
Proximal survival analysis to handle dependent right censoring22
Covariate adjustment in multiarmed, possibly factorial experiments21
Computationally efficient and data-adaptive changepoint inference in high dimension21
Statistical testing under distributional shifts21
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis21
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