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 2022-01-01 to 2026-01-01.)
ArticleCitations
Mark Pilling's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng170
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’65
Seconder of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’58
Stefano Rizzelli’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen51
Strategic two-sample test via the two-armed bandit process48
Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen46
On Functional Processes with Multiple Discontinuities36
Correlation adjusted debiased Lasso: debiasing the Lasso with inaccurate covariate model36
Catch me if you can: signal localization with knockoff e-values32
Safe testing32
Image response regression via deep neural networks31
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods28
Yinqiu He, Yuqi Gu and Zhilian Ying's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng28
Isadora Antoniano Villalobos's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker27
Proximal survival analysis to handle dependent right censoring27
Computationally efficient and data-adaptive changepoint inference in high dimension27
Corrected generalized cross-validation for finite ensembles of penalized estimators25
Covariate adjustment in multiarmed, possibly factorial experiments24
SymmPI: predictive inference for data with group symmetries24
Statistical testing under distributional shifts23
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis22
Using a two-parameter sensitivity analysis framework to efficiently combine randomized and nonrandomized studies21
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