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	131
Strategic two-sample test via the two-armed bandit process	88
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’	57
Catch me if you can: signal localization with knockoff e-values	47
Stefano Rizzelli’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	45
Correlation adjusted debiased Lasso: debiasing the Lasso with inaccurate covariate model	40
Image response regression via deep neural networks	39
On Functional Processes with Multiple Discontinuities	39
Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	38
Safe testing	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	35
Issue Information	32
Corrected generalized cross-validation for finite ensembles of penalized estimators	30
Covariate adjustment in multiarmed, possibly factorial experiments	29
Isadora Antoniano Villalobos's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	27
Proximal survival analysis to handle dependent right censoring	26
Statistical testing under distributional shifts	26
Computationally efficient and data-adaptive changepoint inference in high dimension	23
Synthetic Controls with Staggered Adoption	23
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	23
Ramses Mena Chavez's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	22
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis	22
SymmPI: predictive inference for data with group symmetries	22
Rungang Han and Anru R. Zhangs contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe & Zeng	22

Glenn Shafer’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	21
	21
Robust model averaging prediction of longitudinal response with ultrahigh-dimensional covariates	20
Estimating the efficiency gain of covariate-adjusted analyses in future clinical trials using external data	19
Ying Zhou and Xinyi Zhang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	19
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’	19
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	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
A unified generalization of the inverse regression methods via column selection	17
Testing many constraints in possibly irregular models using incomplete U-statistics	16
Randomisation inference beyond the sharp null: bounded null hypotheses and quantiles of individual treatment effects	16
Thomas S. Richardson’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	15
Conformalized survival analysis	15
Transfer Learning for High-Dimensional Linear Regression: Prediction, Estimation and Minimax Optimality	15
Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses	15
Strong oracle guarantees for partial penalized tests of high-dimensional generalized linear models	15
Conformal prediction with local weights: randomization enables robust guarantees	15
Hernando Ombao’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	14
Correction to: Semi-supervised approaches to efficient evaluation of model prediction performance	13
Empirical Bayes PCA in High Dimensions	13
Andrej Srakar’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	13
Cluster extent inference revisited: quantification and localisation of brain activity	13
Bayesian Context Trees: Modelling and Exact Inference for Discrete Time Series	12
Broadcasted nonparametric tensor regression	12
Engression: extrapolation through the lens of distributional regression	12
Graph Based Gaussian Processes on Restricted Domains	12
J. Goseling and M.N.M. van Lieshout's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	11
Seconder of the Vote of Thanks to Donget al.and Contribution to the Discussion of ‘Gaussian Differential Privacy’	11
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	11
Orthogonalized moment aberration for mixed-level multi-stratum factorial designs with partially-relaxed orthogonal block structures	11
Tyler J. VanderWeele's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	11
Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding	11
Ivor Cribben and Anastasiou Andreas’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	11
Estimating heterogeneous treatment effects with right-censored data via causal survival forests	11
Bertrand Clarke's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	11
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	11
Gradient synchronization for multivariate functional data, with application to brain connectivity	10
Efficient Manifold Approximation with Spherelets	10
Kuldeep Kumar's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	10
Scalable couplings for the random walk Metropolis algorithm	10
Authors’ Reply to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	10
A general framework for cutting feedback within modularized Bayesian inference	10
Issue Information	9
Autoregressive optimal transport models	9
Oliver Hines and Karla Diaz-Ordazʼs Contribution to the Discussion of ‘Assumption-Lean Inference For Generalised Linear Model Parameters’ by Vansteelandt and Dukes	9
Ryan Martin’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	9
Zihao Wen and David L. Dowe’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	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
Universal Prediction Band via Semi-Definite Programming	9
Two-Sample Inference for High-Dimensional Markov Networks	9

Goodness-of-fit tests for high-dimensional Gaussian graphical models via exchangeable sampling	8
Least squares for cardinal paired comparisons data	8
Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data Analysis	8
Adaptive functional principal components analysis	8
Kuldeep Kumar’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	7
Erratum: Usable and precise asymptotics for generalized linear mixed model analysis and design	7
Peter Krusche and Frank Bretz's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	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
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’	7
On the instrumental variable estimation with many weak and invalid instruments	7
Issue Information	7
Yudong Chen and Yining Chen’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	7
Thorsten Dickhaus’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	7
Semiparametric localized principal stratification analysis with continuous strata	7
Seconder of the vote of thanks to Rohe & Zeng and contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’	7
Normalised latent measure factor models	7
Analysis of Networks via the Sparseβ-model	7
Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation	7
α-separability and adjustable combination of amplitude and phase model for functional data	6
Andrej Srakar’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	6
Ordering factorial experiments	6
Priyantha Wijayatunga’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes, and Walker	6
Convexity and measures of statistical association	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
Correction to: Ordering factorial experiments	6
Multi-resolution subsampling for linear classification with massive data	5
Shakeel Gavioli-Akilagun’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	5
Semi-parametric tensor factor analysis by iteratively projected singular value decomposition	5
CovNet: Covariance Networks for Functional Data on Multidimensional Domains	5
Derandomised knockoffs: leveraging e-values for false discovery rate control	5
Graphical methods for Order-of-Addition experiments	5
Peng Ding’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	5
Sparse Kronecker product decomposition: a general framework of signal region detection in image regression	5
Correction to: Holdout predictive checks for Bayesian model criticism	5
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation	5
Jiaqi Gu and Guosheng Yin’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	5
Estimating means of bounded random variables by betting	5
Ensemble methods for testing a global null	5
Stratification pattern enumerator and its applications	4
Contents of Volume 84, 2022	4
Optimal Statistical Inference for Individualized Treatment Effects in High-Dimensional Models	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
Interpretable discriminant analysis for functional data supported on random nonlinear domains with an application to Alzheimer’s disease	4
Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC	4
Yang Liu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	4
Steven R Howard's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	4
Martin Larsson, Aaditya Ramdas, and Johannes Ruf’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	4
Inference of Heterogeneous Treatment Effects using Observational Data with High-Dimensional Covariates	4
Testing homogeneity: the trouble with sparse functional data	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
A fast asynchronous Markov chain Monte Carlo sampler for sparse Bayesian inference	4
Debiased inference for a covariate-adjusted regression function	4
Two-phase rejective sampling and its asymptotic properties	3
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	3
Semiparametric Estimation for Causal Mediation Analysis with Multiple Causally Ordered Mediators	3
Minimax detection boundary and sharp optimal test for Gaussian graphical models	3
Dimension-Free Mixing for High-Dimensional Bayesian Variable Selection	3
The Sceptical Bayes Factor for the Assessment of Replication Success	3
Non-parametric inference about mean functionals of non-ignorable non-response data without identifying the joint distribution	3
Errata to “Functional Models for Time-Varying Random Objects”	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
Joshua Cape's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	3
Ayla Jungbluth and Johannes Lederer’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	3
Philip B. Stark’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	3
Testing high-dimensional multinomials with applications to text analysis	3
Martingale posterior distributions	3
Causal inference with invalid instruments: post-selection problems and a solution using searching and sampling	3
Selecting informative conformal prediction sets with false coverage rate control	3
Richard Guo’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	3
Proposer of the vote of thanks to Rohe & Zeng and contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’	3
Kolyan Ray and Botond Szabo's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	3
Policy evaluation for temporal and/or spatial dependent experiments	3
Model-Assisted Analyses of Cluster-Randomized Experiments	3
Prediction and Outlier Detection in Classification Problems	3
	2
Probabilistic Richardson extrapolation	2
Erratum: Anchor Regression: Heterogeneous Data Meet Causality	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

Covariate Powered Cross-Weighted Multiple Testing	2
Augmented balancing weights as linear regression	2
Principal stratification with continuous post-treatment variables: nonparametric identification and semiparametric estimation	2
Inferential Wasserstein Generative Adversarial Networks	2
Nonparametric, Tuning-Free Estimation of S-Shaped Functions	2
Robust estimation and inference for expected shortfall regression with many regressors	2
Robustness, model checking, and hierarchical models	2
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values	2
Empirical Likelihood-Based Inference for Functional Means with Application to Wearable Device Data	2
Isotonic Distributional Regression	2
Supervised Multivariate Learning with Simultaneous Feature Auto-Grouping and Dimension Reduction	2
Long-term causal inference under persistent confounding via data combination	2
Isotonic subgroup selection	2
Monotone response surface of multi-factor condition: estimation and Bayes classifiers	2
David Draper and Erdong Guo's contribution to the discussion of ‘Martingale posterior distributions’, by Fong, Holmes and Walker	2
Causal inference on distribution functions	2
Modelling matrix time series via a tensor CP-decomposition	2
Bo Zhang’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	2
Joris Mulder’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	2
Dynamic synthetic control method for evaluating treatment effects in auto-regressive processes	1
Optimal individualized treatment rule for combination treatments under budget constraints	1
Anastasios N. Angelopoulos’ contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	1
Issue Information	1
Correction to: X-vine models for multivariate extremes	1
Estimating a directed tree for extremes	1
Alexander Ly’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	1
Confidence on the focal: conformal prediction with selection-conditional coverage	1
Issue Information	1
Gilbert MacKenzie’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	1
Graphical Criteria for Efficient Total Effect Estimation Via Adjustment in Causal Linear Models	1
GRASP: a goodness-of-fit test for classification learning	1
Ordinary differential equation models for a collection of discretized functions	1
On the Cross-Validation Bias due to Unsupervised Preprocessing	1
Seconder of the vote of thanks to Grünwald, de Heide, and Koolen and contribution to the Discussion of ‘Safe testing’	1
Xiaoyue Niu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	1
Wenkai Xu’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide and Koolen	1
The Confidence Interval Method for Selecting Valid Instrumental Variables	1
Marta Catalano, Augusto Fasano, and Giovanni Rebaudo’s contribution to the discussion of ‘Martingale posterior distributions’ by Fong, Holmes and Walker	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
General Bayesian Loss Function Selection and the use of Improper Models	1
Authors' reply to the Discussion of ‘Martingale Posterior Distributions’	1
Informative core identification in complex networks	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
Regularized halfspace depth for functional data	1
Christine P Chai's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	1
A Kernel-Expanded Stochastic Neural Network	1
Another look at bandwidth-free inference: a sample splitting approach	1
Optimal clustering by Lloyd’s algorithm for low-rank mixture model	1
Permutation-based true discovery guarantee by sum tests	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
Bayesian inference with thel1-ball prior: solving combinatorial problems with exact zeros	1
Functional Structural Equation Model	1
A quantitative Heppes theorem and multivariate Bernoulli distributions	1
Testing for a Change in Mean after Changepoint Detection	1
Bayesian Estimation and Comparison of Conditional Moment Models	1
Leveraging the Fisher Randomization Test using Confidence Distributions: Inference, Combination and Fusion Learning	1
Multivariate, heteroscedastic empirical Bayes via nonparametric maximum likelihood	1
Torben Martinussen’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	1
False Discovery Rate Control with E-values	1
Christine P. Chai's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	1
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization	1
Bayesian Inference for Risk Minimization via Exponentially Tilted Empirical Likelihood	1
A nonparametric framework for treatment effect modifier discovery in high dimensions	1
A focusing framework for testing bi-directional causal effects in Mendelian randomization	1
From denoising diffusions to denoising Markov models	1
Priyantha Wijayatunga’s Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	1
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
Non-Reversible Parallel Tempering: A Scalable Highly Parallel MCMC Scheme	0
Proposer of the vote of thanks to Fong, Holmes and Walker and contribution to the Discussion of ‘Martingale Posterior Distributions’	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
Two-way dynamic factor models for high-dimensional matrix-valued time series	0
Correction to: Optimal and Maximin Procedures for Multiple Testing Problems	0
Ilya Shpitser’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	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
Prediction sets adaptive to unknown covariate shift	0
A Graph-Theoretic Approach to Randomization Tests of Causal Effects under General Interference	0
An optimal design framework for lasso sign recovery	0
Filippo Ascolani, Antonio Lijoi, and Igor Prünster’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	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
Eric J Tchetgen Tchetgen’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
Designing to detect heteroscedasticity in a regression model	0
David R. Bickel’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	0
The variational method of moments	0
Model Identification Via Total Frobenius Norm of Multivariate Spectra	0
Gregor Steiner and Mark Steel’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	0
Jiwei Zhao’s 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
Bayesian predictive decision synthesis	0
Sam Power’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	0
Jorge Mateu's contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	0