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	79
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’	60
Seconder of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’	59
Stefano Rizzelli’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	58
Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	43
Strategic two-sample test via the two-armed bandit process	43
Correlation adjusted debiased Lasso: debiasing the Lasso with inaccurate covariate model	36
Catch me if you can: signal localization with knockoff e-values	32
Skew-symmetric approximations of posterior distributions	32
Image response regression via deep neural networks	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
Zihao Wen and David L. Dowe’s contribution to the Discussion of ‘Statistical exploration of the manifold hypothesis’ by Whiteley et al.	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	27
Isadora Antoniano Villalobos's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	26
Proposer of the vote of thanks to Whiteley et al. and contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’	25
Using a two-parameter sensitivity analysis framework to efficiently combine randomized and nonrandomized studies	23
Scalability of Metropolis-within-Gibbs schemes for high-dimensional Bayesian models	22
Statistical testing under distributional shifts	19
Anytime validity is free: inducing sequential tests	19
Covariate adjustment in multiarmed, possibly factorial experiments	18
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	18
Proximal survival analysis to handle dependent right censoring	18
Computationally efficient and data-adaptive changepoint inference in high dimension	18
SymmPI: predictive inference for data with group symmetries	17

Corrected generalized cross-validation for finite ensembles of penalized estimators	17
Pitman efficiency lower bounds for multivariate distribution-free tests based on optimal transport	17
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis	17
Glenn Shafer’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	16
	16
Ramses Mena Chavez's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	15
Rungang Han and Anru R. Zhangs contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe & Zeng	15
Ying Zhou and Xinyi Zhang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	15
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	14
Strong oracle guarantees for partial penalized tests of high-dimensional generalized linear models	14
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’	14
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’	13
Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses	13
Tian, Liu and Tan's contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al	12
Randomisation inference beyond the sharp null: bounded null hypotheses and quantiles of individual treatment effects	12
Bootstrapping estimators based on the block maxima method	11
Conformal prediction with local weights: randomization enables robust guarantees	11
Robust model averaging prediction of longitudinal response with ultrahigh-dimensional covariates	11
Testing many constraints in possibly irregular models using incomplete U-statistics	11
Thomas S. Richardson’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	10
Seconder of the vote of thanks to Bruns-Smith et al. and contribution to the Discussion of ‘Augmented balancing weights as linear regression'	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
A unified generalization of the inverse regression methods via column selection	10
Conformalized survival analysis	10
Cluster extent inference revisited: quantification and localisation of brain activity	10
Estimating the efficiency gain of covariate-adjusted analyses in future clinical trials using external data	10
Hernando Ombao’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	10
Broadcasted nonparametric tensor regression	10
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
Spectral change point estimation for high-dimensional time series by sparse tensor decomposition	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
Estimating heterogeneous treatment effects with right-censored data via causal survival forests	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
Ivor Cribben and Anastasiou Andreas’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	9
Correction to: Semi-supervised approaches to efficient evaluation of model prediction performance	9
Engression: extrapolation through the lens of distributional regression	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
Safaa K. Kadhem's contribution to the Discussion of ‘Augmented balancing weights as linear regression' by Bruns-Smith et al	9
Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding	8
Penalized empirical likelihood over decentralized networks	8
Tyler J. VanderWeele's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	8
The synthetic instrument: from sparse association to sparse causation	8
Root cause discovery via permutations and Cholesky decomposition	8
A general framework for cutting feedback within modularized Bayesian inference	8
Gradient synchronization for multivariate functional data, with application to brain connectivity	8
Gesine Reinert’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	8
Universal Prediction Band via Semi-Definite Programming	7
Oliver Hines and Karla Diaz-Ordazʼs Contribution to the Discussion of ‘Assumption-Lean Inference For Generalised Linear Model Parameters’ by Vansteelandt and Dukes	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
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
Goodness-of-fit tests for high-dimensional Gaussian graphical models via exchangeable sampling	7
Thorsten Dickhaus’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	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
Adaptive functional principal components analysis	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
Erratum: Usable and precise asymptotics for generalized linear mixed model analysis and design	6
Yudong Chen and Yining Chen’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	6
Correction to: Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	6
Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data Analysis	6
Autoregressive optimal transport models	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
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
Normalised latent measure factor models	6
On the instrumental variable estimation with many weak and invalid instruments	6
Zihao Wen and David L. Dowe’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	6
Semiparametric localized principal stratification analysis with continuous strata	5
Convexity and measures of statistical association	5
Post-detection inference for sequential changepoint localization	5
Priyantha Wijayatunga’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes, and Walker	5
Autoregressive networks with dependent edges	5
α-separability and adjustable combination of amplitude and phase model for functional data	5
Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation	5
Inference with Mondrian random forests	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
Combining evidence across filtrations	5
Ordering factorial experiments	5
Multi-task learning for sparsity pattern heterogeneity: statistical and computational perspectives	5
Model privacy: a unified framework for understanding model stealing attacks and defences	5
Andrej Srakar’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	5
Correction to: Holdout predictive checks for Bayesian model criticism	5
Correction to: Ordering factorial experiments	5
Scalable Bayesian inference for heat kernel Gaussian processes on manifolds	4
Contents of Volume 84, 2022	4
Estimating means of bounded random variables by betting	4
Sparse Kronecker product decomposition: a general framework of signal region detection in image regression	4
Graphical methods for Order-of-Addition experiments	4
Yunxiao Chen and Gongjun Xu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	4
Randomized empirical likelihood test for ultra-high dimensional means under general covariances	4
Stratification pattern enumerator and its applications	4
Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC	4
Multi-resolution subsampling for linear classification with massive data	4
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation	4
Derandomised knockoffs: leveraging e-values for false discovery rate control	4
CovNet: Covariance Networks for Functional Data on Multidimensional Domains	4
Jiaqi Gu and Guosheng Yin’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	4
Debiased inference for a covariate-adjusted regression function	4
Interpretable discriminant analysis for functional data supported on random nonlinear domains with an application to Alzheimer’s disease	4
Peng Ding’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	4
Ensemble methods for testing a global null	4
Semi-parametric tensor factor analysis by iteratively projected singular value decomposition	4
Shakeel Gavioli-Akilagun’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	4
Testing homogeneity: the trouble with sparse functional data	4
Steven R Howard's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	3
Martin Larsson, Aaditya Ramdas, and Johannes Ruf’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	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
Melanie Weber’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	3
Alexander Modell’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	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
A fast asynchronous Markov chain Monte Carlo sampler for sparse Bayesian inference	3
Dimension-Free Mixing for High-Dimensional Bayesian Variable Selection	3
Martingale posterior distributions	3
Policy evaluation for temporal and/or spatial dependent experiments	3
Shan, Ying and Zhao’s contribution to the Discussion of ‘Augmented balancing weights as linear regression' by Bruns-Smith et al	3
Spherical random projection	3
Yang Liu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	3
Testing high-dimensional multinomials with applications to text analysis	3
Non-parametric inference about mean functionals of non-ignorable non-response data without identifying the joint distribution	3
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
Joshua Cape'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
Philip B. Stark’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	2
Principal stratification with continuous post-treatment variables: nonparametric identification and semiparametric estimation	2
Robust estimation and inference for expected shortfall regression with many regressors	2
Isotonic subgroup selection	2
Modelling matrix time series via a tensor CP-decomposition	2

Robustness, model checking, and hierarchical models	2
Bo Zhang’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	2
Gaussianized design optimization for covariate balance in randomized experiments	2
Ayla Jungbluth and Johannes Lederer’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	2
Kolyan Ray and Botond Szabo's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	2
Causal inference with invalid instruments: post-selection problems and a solution using searching and sampling	2
Seconder of the vote of thanks to Whiteley et al. and Contribution to the Discussion of ‘Statistical exploration of the manifold hypothesis’	2
Additive-Effect Assisted Learning	2
Selecting informative conformal prediction sets with false coverage rate control	2
Causal inference on distribution functions	2
Robust detection of watermarks for large language models under human edits	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
Joris Mulder’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	2
Probabilistic Richardson extrapolation	2
Richard Guo’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	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
Minimax detection boundary and sharp optimal test for Gaussian graphical models	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
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
The causal effects of modified treatment policies under network interference	2
Augmented balancing weights as linear regression	2
Empirical Likelihood-Based Inference for Functional Means with Application to Wearable Device Data	2
David Draper and Erdong Guo's contribution to the discussion of ‘Martingale posterior distributions’, by Fong, Holmes and Walker	2
Monotone response surface of multi-factor condition: estimation and Bayes classifiers	2
Doubly robust calibration of prediction sets under covariate shift	1
Correction to: X-vine models for multivariate extremes	1
Multiple randomization designs: estimation and inference with interference	1
Estimating a directed tree for extremes	1
Christine P Chai's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	1
Parameterizing and simulating from causal models	1
Another look at bandwidth-free inference: a sample splitting approach	1
On the Cross-Validation Bias due to Unsupervised Preprocessing	1
Ordinary differential equation models for a collection of discretized functions	1
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values	1
Thomas Maullin-Sapey’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	1
Martin Schlather and Milan Stehlík’s contribution to the Discussion of ‘Statistical exploration of the manifold hypothesis’ by N. Whiteley et al.	1
Federated feature selection with false discovery rate control	1
Coloured Gaussian directed acyclic graphical models	1
Authors' reply to the Discussion of ‘Martingale Posterior Distributions’	1
Torben Martinussen’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	1
Confidence on the focal: conformal prediction with selection-conditional coverage	1
Optimal individualized treatment rule for combination treatments under budget constraints	1
Self-organizing state-space models with artificial dynamics	1
Dynamic synthetic control method for evaluating treatment effects in auto-regressive processes	1
Permutation-based true discovery guarantee by sum tests	1
Issue Information	1
A focusing framework for testing bi-directional causal effects in Mendelian randomization	1
Seconder of the vote of thanks to Grünwald, de Heide, and Koolen and contribution to the Discussion of ‘Safe testing’	1
Inference of dependency knowledge graph for Electronic Health Records	1
Konstantin Siroki and Korbinian Strimmer’s contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe and Zeng	1
Art Owen’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	1
From denoising diffusions to denoising Markov models	1
Regularized halfspace depth for functional data	1
Informative core identification in complex networks	1
Multivariate, heteroscedastic empirical Bayes via nonparametric maximum likelihood	1
ART: distribution-free and model-agnostic changepoint detection with finite-sample guarantees	1
Supriya Tiwari and Pallavi Basu's contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al	1
A nonparametric framework for treatment effect modifier discovery in high dimensions	1
Bayesian inference with thel1-ball prior: solving combinatorial problems with exact zeros	1
Optimal clustering by Lloyd’s algorithm for low-rank mixture model	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
Alexander Ly’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	1
Alberto Bordino and Olga Klopp’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	1
Xiaoyue Niu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	1
Gilbert MacKenzie’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	1
GRASP: a goodness-of-fit test for classification learning	1
Issue Information	1
Censored quantile regression with time-dependent covariates	1
Wenkai Xu’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
Ilya Shpitser’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
Two-way dynamic factor models for high-dimensional matrix-valued time series	0
Model identification via total Frobenius norm of multivariate spectra	0
Kaizheng Wang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
Core shrinkage covariance estimation for matrix-variate data	0
Identification and multiply robust estimation in causal mediation analysis across principal strata	0
Nonparametric inference for censored data using deep neural networks	0
The variational method of moments	0
Professor Garib Nath Singh’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Nick Whiteley et al.	0
Designing to detect heteroscedasticity in a regression model	0
Bayesian predictive decision synthesis	0
Michael Lavine and James Hodges’ Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
Professor Garib Nath Singh’s contribution to the Discussion of ‘Augmented balancing weights as linear regression' by Bruns-Smith et al	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
Online multivariate changepoint detection: leveraging links with computational geometry	0
Inference on function-valued parameters using a restricted score test	0
Prediction sets adaptive to unknown covariate shift	0
Corrigendum: Exact Bayesian inference in spatiotemporal Cox processes driven by multivariate Gaussian processes	0
Huber means on Riemannian manifolds	0
Controlling the false discovery rate in transformational sparsity: Split Knockoffs	0
Dr Arun Chind’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	0
Estimating maximal symmetries of regression functions via subgroup lattices	0
An optimal design framework for lasso sign recovery	0
David R. Bickel’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	0
Junhyung Chang and Xiaoyu Lei’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	0