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	133
Strategic two-sample test via the two-armed bandit process	90
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’	58
Catch me if you can: signal localization with knockoff e-values	53
Stefano Rizzelli’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	46
Correlation adjusted debiased Lasso: debiasing the Lasso with inaccurate covariate model	43
On Functional Processes with Multiple Discontinuities	42
Image response regression via deep neural networks	38
Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	36
Yinqiu He, Yuqi Gu and Zhilian Ying's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	32
Safe testing	32
Issue Information	30
Covariate adjustment in multiarmed, possibly factorial experiments	29
Corrected generalized cross-validation for finite ensembles of penalized estimators	27
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis	27
Isadora Antoniano Villalobos's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	27
Statistical testing under distributional shifts	24
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	23
Proximal survival analysis to handle dependent right censoring	23
Synthetic Controls with Staggered Adoption	23
SymmPI: predictive inference for data with group symmetries	22
	22
Computationally efficient and data-adaptive changepoint inference in high dimension	22
Ramses Mena Chavez's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	22

Ying Zhou and Xinyi Zhang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	21
Randomisation inference beyond the sharp null: bounded null hypotheses and quantiles of individual treatment effects	21
Glenn Shafer’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	21
Estimating the efficiency gain of covariate-adjusted analyses in future clinical trials using external data	20
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’	18
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’	17
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	17
Conformal prediction with local weights: randomization enables robust guarantees	17
Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses	16
Transfer Learning for High-Dimensional Linear Regression: Prediction, Estimation and Minimax Optimality	15
A unified generalization of the inverse regression methods via column selection	15
Rungang Han and Anru R. Zhangs contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe & Zeng	15
Strong oracle guarantees for partial penalized tests of high-dimensional generalized linear models	15
Conformalized survival analysis	14
Testing many constraints in possibly irregular models using incomplete U-statistics	13
Thomas S. Richardson’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	13
Robust model averaging prediction of longitudinal response with ultrahigh-dimensional covariates	13
Cluster extent inference revisited: quantification and localisation of brain activity	12
Andrej Srakar’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	12
Correction to: Semi-supervised approaches to efficient evaluation of model prediction performance	12
Hernando Ombao’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	12
Broadcasted nonparametric tensor regression	12
Empirical Bayes PCA in High Dimensions	12
Graph Based Gaussian Processes on Restricted Domains	11
Orthogonalized moment aberration for mixed-level multi-stratum factorial designs with partially-relaxed orthogonal block structures	11
Estimating heterogeneous treatment effects with right-censored data via causal survival forests	11
Engression: extrapolation through the lens of distributional regression	11
Seconder of the Vote of Thanks to Donget al.and Contribution to the Discussion of ‘Gaussian Differential Privacy’	11
Bayesian Context Trees: Modelling and Exact Inference for Discrete Time Series	11
J. Goseling and M.N.M. van Lieshout's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	11
Ivor Cribben and Anastasiou Andreas’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	10
Bertrand Clarke's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	10
Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding	10
Tyler J. VanderWeele's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	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
Efficient Manifold Approximation with Spherelets	9
Martin Larsson and Johannes Ruf’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	9
Authors’ Reply to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	9
A general framework for cutting feedback within modularized Bayesian inference	9
Scalable couplings for the random walk Metropolis algorithm	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
Kuldeep Kumar's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	9
Gradient synchronization for multivariate functional data, with application to brain connectivity	9
Ryan Martin’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	8
Issue Information	8
Universal Prediction Band via Semi-Definite Programming	8
Seconder of the vote of thanks to Rohe & Zeng and contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’	7
Kuldeep Kumar’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	7
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	7
Zihao Wen and David L. Dowe’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	7

Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data Analysis	7
Autoregressive optimal transport models	7
Erratum: Usable and precise asymptotics for generalized linear mixed model analysis and design	7
Yudong Chen and Yining Chen’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	7
Normalised latent measure factor models	7
On the instrumental variable estimation with many weak and invalid instruments	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
Least squares for cardinal paired comparisons data	7
Issue Information	7
Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation	7
Adaptive functional principal components analysis	7
Two-Sample Inference for High-Dimensional Markov Networks	7
Goodness-of-fit tests for high-dimensional Gaussian graphical models via exchangeable sampling	7
Ordering factorial experiments	6
Thorsten Dickhaus’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	6
α-separability and adjustable combination of amplitude and phase model for functional data	6
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’	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
Semiparametric localized principal stratification analysis with continuous strata	6
Analysis of Networks via the Sparseβ-model	6
Convexity and measures of statistical association	6
Andrej Srakar’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	5
Graphical methods for Order-of-Addition experiments	5
Ensemble methods for testing a global null	5
Priyantha Wijayatunga’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes, and Walker	5
Correction to: Ordering factorial experiments	5
Derandomised knockoffs: leveraging e-values for false discovery rate control	5
Multi-resolution subsampling for linear classification with massive data	5
CovNet: Covariance Networks for Functional Data on Multidimensional Domains	5
Sparse Kronecker product decomposition: a general framework of signal region detection in image regression	5
Peng Ding’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	5
Shakeel Gavioli-Akilagun’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	4
Semi-parametric tensor factor analysis by iteratively projected singular value decomposition	4
Interpretable discriminant analysis for functional data supported on random nonlinear domains with an application to Alzheimer’s disease	4
Stratification pattern enumerator and its applications	4
Niwen Zhou and Xu Guo’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	4
Spherical random projection	4
Contents of Volume 84, 2022	4
Estimating means of bounded random variables by betting	4
Correction to: Holdout predictive checks for Bayesian model criticism	4
Randomized empirical likelihood test for ultra-high dimensional means under general covariances	4
Inference of Heterogeneous Treatment Effects using Observational Data with High-Dimensional Covariates	4
Steven R Howard's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	4
Debiased inference for a covariate-adjusted regression function	4
Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC	4
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation	4
Jiaqi Gu and Guosheng Yin’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	4
Testing homogeneity: the trouble with sparse functional data	4
Yang Liu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	4
A fast asynchronous Markov chain Monte Carlo sampler for sparse Bayesian inference	4
Yunxiao Chen and Gongjun Xu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	4
Philip B. Stark’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	3
The Sceptical Bayes Factor for the Assessment of Replication Success	3
Kolyan Ray and Botond Szabo's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	3
Two-phase rejective sampling and its asymptotic properties	3
Model-Assisted Analyses of Cluster-Randomized Experiments	3
Richard Guo’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	3
Policy evaluation for temporal and/or spatial dependent experiments	3
Dimension-Free Mixing for High-Dimensional Bayesian Variable Selection	3
Minimax detection boundary and sharp optimal test for Gaussian graphical models	3
Selecting informative conformal prediction sets with false coverage rate control	3
Prediction and Outlier Detection in Classification Problems	3
Causal inference with invalid instruments: post-selection problems and a solution using searching and sampling	3
Martin Larsson, Aaditya Ramdas, and Johannes Ruf’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	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
Martingale posterior distributions	3
Semiparametric Estimation for Causal Mediation Analysis with Multiple Causally Ordered Mediators	3
Tianxi Li’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	3
	2
Robustness, model checking, and hierarchical models	2
Causal inference on distribution functions	2
Bo Zhang’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	2
Long-term causal inference under persistent confounding via data combination	2
Monotone response surface of multi-factor condition: estimation and Bayes classifiers	2
Probabilistic Richardson extrapolation	2
Joris Mulder’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	2
Ayla Jungbluth and Johannes Lederer’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	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
Empirical Likelihood-Based Inference for Functional Means with Application to Wearable Device Data	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
Augmented balancing weights as linear regression	2
Robust estimation and inference for expected shortfall regression with many regressors	2
Nonparametric, Tuning-Free Estimation of S-Shaped Functions	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
Isotonic subgroup selection	2
Erratum: Anchor Regression: Heterogeneous Data Meet Causality	2
Modelling matrix time series via a tensor CP-decomposition	2
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values	2
David Draper and Erdong Guo's contribution to the discussion of ‘Martingale posterior distributions’, by Fong, Holmes and Walker	2
Inferential Wasserstein Generative Adversarial Networks	2
Principal stratification with continuous post-treatment variables: nonparametric identification and semiparametric estimation	2
Joshua Cape's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	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
Supervised Multivariate Learning with Simultaneous Feature Auto-Grouping and Dimension Reduction	2
A Kernel-Expanded Stochastic Neural Network	1
On the Cross-Validation Bias due to Unsupervised Preprocessing	1
Bayesian fusion: scalable unification of distributed statistical analyses	1
A nonparametric framework for treatment effect modifier discovery in high dimensions	1
Marta Catalano, Augusto Fasano, and Giovanni Rebaudo’s contribution to the discussion of ‘Martingale posterior distributions’ by Fong, Holmes and Walker	1
Bayesian inference with thel1-ball prior: solving combinatorial problems with exact zeros	1
Torben Martinussen’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	1
Informative core identification in complex networks	1
Estimating a directed tree for extremes	1
Graphical Criteria for Efficient Total Effect Estimation Via Adjustment in Causal Linear Models	1
Testing for a Change in Mean after Changepoint Detection	1
False Discovery Rate Control with E-values	1
Alexander Ly’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	1
Gilbert MacKenzie’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	1
Wenkai Xu’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide and Koolen	1
A focusing framework for testing bi-directional causal effects in Mendelian randomization	1
Regularized halfspace depth for functional data	1
Xiaoyue Niu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	1
Spatial effect detection regression for large-scale spatio-temporal covariates	1
Karl Rohe and Muzhe Zeng’s reply to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’	1
Multivariate, heteroscedastic empirical Bayes via nonparametric maximum likelihood	1
Issue Information	1
Dynamic synthetic control method for evaluating treatment effects in auto-regressive processes	1
Issue Information	1
From denoising diffusions to denoising Markov models	1
Authors' reply to the Discussion of ‘Martingale Posterior Distributions’	1
Censored quantile regression with time-dependent covariates	1
Correction to: X-vine models for multivariate extremes	1
Doubly robust calibration of prediction sets under covariate shift	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
Ordinary differential equation models for a collection of discretized functions	1
Permutation-based true discovery guarantee by sum tests	1
Confidence on the focal: conformal prediction with selection-conditional coverage	1
GRASP: a goodness-of-fit test for classification learning	1
Functional Structural Equation Model	1
Anastasios N. Angelopoulos’ contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	1
Optimal clustering by Lloyd’s algorithm for low-rank mixture model	1
Optimal individualized treatment rule for combination treatments under budget constraints	1
Art Owen’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	1
Parameterizing and simulating from causal models	1
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization	1
Samuel Pawel and Leonhard Held’s contribution to the Discussion of ‘Safe Testing’ by Grünwald, de Heide, and Koolen	1
Bayesian Inference for Risk Minimization via Exponentially Tilted Empirical Likelihood	1
General Bayesian Loss Function Selection and the use of Improper Models	1
Christine P Chai's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	1
Bayesian Estimation and Comparison of Conditional Moment Models	1
Another look at bandwidth-free inference: a sample splitting approach	1
Seconder of the vote of thanks to Grünwald, de Heide, and Koolen and contribution to the Discussion of ‘Safe testing’	1
Core shrinkage covariance estimation for matrix-variate data	0
Prediction sets adaptive to unknown covariate shift	0
Jorge Mateu's contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	0
Christine P. Chai’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	0
Yicong Jiang and Zheng Tracy Ke’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	0
Filippo Ascolani, Antonio Lijoi, and Igor Prünster’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	0
Proposer of the Vote of Thanks and Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
Controlling the false discovery rate in transformational sparsity: Split Knockoffs	0
Huber means on Riemannian manifolds	0
	0
David R. Bickel’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	0
Estimating maximal symmetries of regression functions via subgroup lattices	0
Non-Reversible Parallel Tempering: A Scalable Highly Parallel MCMC Scheme	0
Kaizheng Wang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
Pietro Rigo's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	0
An optimal design framework for lasso sign recovery	0
Identification and multiply robust estimation in causal mediation analysis across principal strata	0
Rong Jiang and Keming Yu's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	0
Gaussian Prepivoting for Finite Population Causal Inference	0
Bayesian predictive decision synthesis	0
Ilya Shpitser’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
The variational method of moments	0
Online multivariate changepoint detection: leveraging links with computational geometry	0
Gregor Steiner and Mark Steel’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	0
Model Identification Via Total Frobenius Norm of Multivariate Spectra	0
A Graph-Theoretic Approach to Randomization Tests of Causal Effects under General Interference	0
Proposer of the vote of thanks to Fong, Holmes and Walker and contribution to the Discussion of ‘Martingale Posterior Distributions’	0
Jiwei Zhao’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
Designing to detect heteroscedasticity in a regression model	0
Correction to: Optimal and Maximin Procedures for Multiple Testing Problems	0
Eric J Tchetgen Tchetgen’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0