Journal of the Royal Statistical Society Series B-Statistical Methodol

Article	Citations
Mark Pilling's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	80
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’	63
Seconder of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’	61
Stefano Rizzelli’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	60
Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	46
Strategic two-sample test via the two-armed bandit process	44
Correlation adjusted debiased Lasso: debiasing the Lasso with inaccurate covariate model	36
Catch me if you can: signal localization with knockoff e-values	34
Skew-symmetric approximations of posterior distributions	34
Statistical inference for Gaussian Whittle–Matérn fields on metric graphs	33
Image response regression via deep neural networks	31
Zihao Wen and David L. Dowe’s contribution to the Discussion of ‘Statistical exploration of the manifold hypothesis’ by Whiteley et al.	30
Safaa K. Kadhem’s contribution to the Discussion on ‘Statistical exploration of the manifold hypothesis’ by Nick Whiteley, Annie Grayb, and Patrick Rubin-Delanchy	30
Safe testing	29
Yinqiu He, Yuqi Gu and Zhilian Ying's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	26
Isadora Antoniano Villalobos's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	24
Proposer of the vote of thanks to Whiteley et al. and contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’	23
Scalability of Metropolis-within-Gibbs schemes for high-dimensional Bayesian models	19
Using a two-parameter sensitivity analysis framework to efficiently combine randomized and nonrandomized studies	19
Corrected generalized cross-validation for finite ensembles of penalized estimators	19
Pitman efficiency lower bounds for multivariate distribution-free tests based on optimal transport	18
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	18
Computationally efficient and data-adaptive changepoint inference in high dimension	18
Statistical testing under distributional shifts	18
SymmPI: predictive inference for data with group symmetries	18

Oracle arrays and their use for constructing space-filling designs	17
Covariate adjustment in multiarmed, possibly factorial experiments	17
	16
Proximal survival analysis to handle dependent right censoring	16
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis	16
Anytime validity is free: inducing sequential tests	16
Ramses Mena Chavez's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	15
Glenn Shafer’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	15
Ying Zhou and Xinyi Zhang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	14
Robust model averaging prediction of longitudinal response with ultrahigh-dimensional covariates	13
Rungang Han and Anru R. Zhangs contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe & Zeng	13
Strong oracle guarantees for partial penalized tests of high-dimensional generalized linear models	13
Pierre-Aurelien Gilliot, Christophe Andrieu, Anthony Lee, Song Liu, and Michael Whitehouse’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machi	12
Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses	12
Proposer of the vote of thanks to Waudy-Smith and Ramdas and contribution to the Discussion of ‘Estimating means of bounded random variables by betting’	12
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’	12
Estimating the efficiency gain of covariate-adjusted analyses in future clinical trials using external data	11
Testing many constraints in possibly irregular models using incomplete U-statistics	11
Tian, Liu and Tan's contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al	11
Bootstrapping estimators based on the block maxima method	11
Randomisation inference beyond the sharp null: bounded null hypotheses and quantiles of individual treatment effects	11
Conformal prediction with local weights: randomization enables robust guarantees	11
Seconder of the vote of thanks to Bruns-Smith et al. and contribution to the Discussion of ‘Augmented balancing weights as linear regression'	10
Hernando Ombao’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	10
A unified generalization of the inverse regression methods via column selection	10
Cluster extent inference revisited: quantification and localisation of brain activity	10
Thomas S. Richardson’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	10
Andrej Srakar’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	10
Conformalized survival analysis	10
Engression: extrapolation through the lens of distributional regression	9
Correction to: Semi-supervised approaches to efficient evaluation of model prediction performance	9
Filippo Ascolani, Antonio Lijoi and Igor Prünster’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	9
Spectral change point estimation for high-dimensional time series by sparse tensor decomposition	9
Estimating heterogeneous treatment effects with right-censored data via causal survival forests	9
Scalable couplings for the random walk Metropolis algorithm	9
Kuldeep Kumar's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	9
Orthogonalized moment aberration for mixed-level multi-stratum factorial designs with partially-relaxed orthogonal block structures	9
Bertrand Clarke's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	9
Anthony C Davison and Igor Rodionov’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	9
Ivor Cribben and Anastasiou Andreas’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	9
Broadcasted nonparametric tensor regression	9
Safaa K. Kadhem's contribution to the Discussion of ‘Augmented balancing weights as linear regression' by Bruns-Smith et al	8
Gesine Reinert’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	8
Gradient synchronization for multivariate functional data, with application to brain connectivity	8
Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding	8
The synthetic instrument: from sparse association to sparse causation	8
Root cause discovery via permutations and Cholesky decomposition	8
Tyler J. VanderWeele's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	8
Oliver Hines and Karla Diaz-Ordazʼs Contribution to the Discussion of ‘Assumption-Lean Inference For Generalised Linear Model Parameters’ by Vansteelandt and Dukes	7
Ryan Martin’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	7

Simon et al.’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	7
Adaptive functional principal components analysis	7
Universal Prediction Band via Semi-Definite Programming	7
A general framework for cutting feedback within modularized Bayesian inference	7
On the instrumental variable estimation with many weak and invalid instruments	7
Martin Larsson and Johannes Ruf’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	7
Penalized empirical likelihood over decentralized networks	7
Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data Analysis	6
Yongmiao Hong, Oliver Linton, Jiajing Sun, and Meiting Zhu’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	6
Marta Catalano, Augusto Fasano, Matteo Giordano, and Giovanni Rebaudo’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	6
Erratum: Usable and precise asymptotics for generalized linear mixed model analysis and design	6
Sequential model confidence sets	6
Seconder of the vote of thanks to Rohe & Zeng and contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’	6
Thorsten Dickhaus’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	6
Kuldeep Kumar’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	6
Least squares for cardinal paired comparisons data	6
Autoregressive optimal transport models	6
Zihao Wen and David L. Dowe’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	6
Correction to: Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	6
Yudong Chen and Yining Chen’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	6
Goodness-of-fit tests for high-dimensional Gaussian graphical models via exchangeable sampling	6
Post-detection inference for sequential changepoint localization	5
Convexity and measures of statistical association	5
α-separability and adjustable combination of amplitude and phase model for functional data	5
Inference with Mondrian random forests	5
Priyantha Wijayatunga’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes, and Walker	5
Multi-task learning for sparsity pattern heterogeneity: statistical and computational perspectives	5
Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation	5
Ordering factorial experiments	5
Correction to: Ordering factorial experiments	5
Proposers of the vote of thanks to Crane and Xu and contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’	5
Normalised latent measure factor models	5
Model privacy: a unified framework for understanding model stealing attacks and defences	5
Principal stratification with U-statistics under principal ignorability	5
Andrej Srakar’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	5
Semiparametric localized principal stratification analysis with continuous strata	5
Derandomised knockoffs: leveraging e-values for false discovery rate control	4
Graphical methods for Order-of-Addition experiments	4
Interpretable discriminant analysis for functional data supported on random nonlinear domains with an application to Alzheimer’s disease	4
Yunxiao Chen and Gongjun Xu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	4
CovNet: Covariance Networks for Functional Data on Multidimensional Domains	4
Semi-parametric tensor factor analysis by iteratively projected singular value decomposition	4
Estimating means of bounded random variables by betting	4
Stratification pattern enumerator and its applications	4
Scalable Bayesian inference for heat kernel Gaussian processes on manifolds	4
Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC	4
Jiaqi Gu and Guosheng Yin’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	4
Combining evidence across filtrations	4
Sparse Kronecker product decomposition: a general framework of signal region detection in image regression	4
Autoregressive networks with dependent edges	4
Peng Ding’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	4
Multi-resolution subsampling for linear classification with massive data	4
Debiased inference for a covariate-adjusted regression function	4
Contents of Volume 84, 2022	4
Shakeel Gavioli-Akilagun’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	4
Ensemble methods for testing a global null	4
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation	4
Correction to: Holdout predictive checks for Bayesian model criticism	4
A fast asynchronous Markov chain Monte Carlo sampler for sparse Bayesian inference	3
Niwen Zhou and Xu Guo’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	3
Martingale posterior distributions	3
Shan, Ying and Zhao’s contribution to the Discussion of ‘Augmented balancing weights as linear regression' by Bruns-Smith et al	3
Non-parametric inference about mean functionals of non-ignorable non-response data without identifying the joint distribution	3
Martin Larsson, Aaditya Ramdas, and Johannes Ruf’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	3
Randomized empirical likelihood test for ultra-high dimensional means under general covariances	3
Yang Liu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	3
Spherical random projection	3
Testing high-dimensional multinomials with applications to text analysis	3
Alexander Modell’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	3
Testing homogeneity: the trouble with sparse functional data	3
Steven R Howard's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	3
Jiangfeng Wang, Keming Yu and Rong Jiang's contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al	3
Policy evaluation for temporal and/or spatial dependent experiments	3
Melanie Weber’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	3
David Draper and Erdong Guo's contribution to the discussion of ‘Martingale posterior distributions’, by Fong, Holmes and Walker	2
Gaussianized design optimization for covariate balance in randomized experiments	2
Principal stratification with continuous post-treatment variables: nonparametric identification and semiparametric estimation	2
Proposer of the vote of thanks to Rohe & Zeng and contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’	2
Selecting informative conformal prediction sets with false coverage rate control	2
Kolyan Ray and Botond Szabo's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	2

Dimension-Free Mixing for High-Dimensional Bayesian Variable Selection	2
Robust detection of watermarks for large language models under human edits	2
Permutation-based true discovery guarantee by sum tests	2
Xiaoyue Niu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	2
Kiho Park, Yo Joong Choe, and Yibo Jiang’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	2
Robustness, model checking, and hierarchical models	2
Robust estimation and inference for expected shortfall regression with many regressors	2
Bo Zhang’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	2
Ayla Jungbluth and Johannes Lederer’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	2
Seconder of the vote of thanks to Whiteley et al. and Contribution to the Discussion of ‘Statistical exploration of the manifold hypothesis’	2
Junhui Cai, Dan Yang, Linda Zhao and Wu Zhu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	2
Two-phase rejective sampling and its asymptotic properties	2
Minimax detection boundary and sharp optimal test for Gaussian graphical models	2
Tianxi Li’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	2
Additive-Effect Assisted Learning	2
Seconder of the vote of thanks to Grünwald, de Heide, and Koolen and contribution to the Discussion of ‘Safe testing’	2
Causal inference on distribution functions	2
Empirical Likelihood-Based Inference for Functional Means with Application to Wearable Device Data	2
Joshua Cape's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	2
David Huk, Lorenzo Pacchiardi, Ritabrata Dutta and Mark Steel's contribution to the Discussion of ‘Martingale posterior distributions’ by Fong, Holmes and Walker	2
Long-term causal inference under persistent confounding via data combination	2
Joris Mulder’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	2
Richard Guo’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	2
Modelling matrix time series via a tensor CP-decomposition	2
Cross-validation with antithetic Gaussian randomization	2
Causal inference with invalid instruments: post-selection problems and a solution using searching and sampling	2
Probabilistic Richardson extrapolation	2
Philip B. Stark’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	2
The causal effects of modified treatment policies under network interference	2
Isotonic subgroup selection	2
Konstantin Siroki and Korbinian Strimmer’s contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe and Zeng	2
Augmented balancing weights as linear regression	2
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values	2
Monotone response surface of multi-factor condition: estimation and Bayes classifiers	2
A focusing framework for testing bi-directional causal effects in Mendelian randomization	1
Inference of dependency knowledge graph for Electronic Health Records	1
Parameterizing and simulating from causal models	1
Optimal clustering by Lloyd’s algorithm for low-rank mixture model	1
Art Owen’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	1
ART: distribution-free and model-agnostic changepoint detection with finite-sample guarantees	1
From denoising diffusions to denoising Markov models	1
Multivariate, heteroscedastic empirical Bayes via nonparametric maximum likelihood	1
Estimating a directed tree for extremes	1
A nonparametric framework for treatment effect modifier discovery in high dimensions	1
Dynamic synthetic control method for evaluating treatment effects in auto-regressive processes	1
Confidence on the focal: conformal prediction with selection-conditional coverage	1
Frederic Schoenberg and Weng Kee Wong’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	1
Correction to: X-vine models for multivariate extremes	1
Christine P Chai's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	1
Alberto Bordino and Olga Klopp’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	1
Another look at bandwidth-free inference: a sample splitting approach	1
Issue Information	1
Ian Gallagher’s contribution to the Discussion of ‘Statistical exploration of the manifold hypothesis’ by Whiteley et al.	1
Issue Information	1
Federated feature selection with false discovery rate control	1
Informative core identification in complex networks	1
GRASP: a goodness-of-fit test for classification learning	1
On the Cross-Validation Bias due to Unsupervised Preprocessing	1
Authors' reply to the Discussion of ‘Martingale Posterior Distributions’	1
Optimal individualized treatment rule for combination treatments under budget constraints	1
Thomas Maullin-Sapey’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	1
Multiple randomization designs: estimation and inference with interference	1
Gilbert MacKenzie’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	1
Ordinary differential equation models for a collection of discretized functions	1
Self-organizing state-space models with artificial dynamics	1
Regularized halfspace depth for functional data	1
Samuel Pawel and Leonhard Held’s contribution to the Discussion of ‘Safe Testing’ by Grünwald, de Heide, and Koolen	1
General Bayesian Loss Function Selection and the use of Improper Models	1
Coloured Gaussian directed acyclic graphical models	1
Martin Schlather and Milan Stehlík’s contribution to the Discussion of ‘Statistical exploration of the manifold hypothesis’ by N. Whiteley et al.	1
Censored quantile regression with time-dependent covariates	1
Bayesian inference with thel1-ball prior: solving combinatorial problems with exact zeros	1
Alexander Ly’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	1
Doubly robust calibration of prediction sets under covariate shift	1
Torben Martinussen’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	1
Supriya Tiwari and Pallavi Basu's contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al	1
Wenkai Xu’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide and Koolen	1
Huber means on Riemannian manifolds	0
Quantifying individual risk for binary outcomes	0
Dr Arun Chind’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	0
Nonparametric inference for censored data using deep neural networks	0
Core shrinkage covariance estimation for matrix-variate data	0
Inference on function-valued parameters using a restricted score test	0
Kaizheng Wang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
Identification and multiply robust estimation in causal mediation analysis across principal strata	0
Proposer of the vote of thanks to Fong, Holmes and Walker and contribution to the Discussion of ‘Martingale Posterior Distributions’	0
An optimal design framework for lasso sign recovery	0
The variational method of moments	0
Prediction sets adaptive to unknown covariate shift	0
Seconder of the vote of thanks and contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	0
Bayesian predictive decision synthesis	0
Online multivariate changepoint detection: leveraging links with computational geometry	0
Professor Garib Nath Singh’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Nick Whiteley et al.	0
Junhyung Chang and Xiaoyu Lei’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	0
David R. Bickel’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	0