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	108
Strategic two-sample test via the two-armed bandit process	73
Image response regression via deep neural networks	58
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’	49
Seconder of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’	39
Stefano Rizzelli’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	38
Catch me if you can: signal localization with knockoff e-values	38
Correlation adjusted debiased Lasso: debiasing the Lasso with inaccurate covariate model	38
Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	34
On Functional Processes with Multiple Discontinuities	33
Safe testing	32
Yinqiu He, Yuqi Gu and Zhilian Ying's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	31
Synthetic Controls with Staggered Adoption	25
Issue Information	25
Corrected generalized cross-validation for finite ensembles of penalized estimators	25
Computationally efficient and data-adaptive changepoint inference in high dimension	21
Isadora Antoniano Villalobos's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	21
Statistical testing under distributional shifts	20
Proximal survival analysis to handle dependent right censoring	20
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis	20
Covariate adjustment in multiarmed, possibly factorial experiments	19
Ramses Mena Chavez's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	18
Rungang Han and Anru R. Zhangs contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe & Zeng	18
Glenn Shafer’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	18
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	18

	18
Conformal prediction with local weights: randomization enables robust guarantees	17
Robust model averaging prediction of longitudinal response with ultrahigh-dimensional covariates	17
Testing many constraints in possibly irregular models using incomplete U-statistics	16
Strong oracle guarantees for partial penalized tests of high-dimensional generalized linear models	16
Conformalized survival analysis	16
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’	15
Estimating the efficiency gain of covariate-adjusted analyses in future clinical trials using external data	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
Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses	14
Randomisation inference beyond the sharp null: bounded null hypotheses and quantiles of individual treatment effects	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’	14
Transfer Learning for High-Dimensional Linear Regression: Prediction, Estimation and Minimax Optimality	14
Thomas S. Richardson’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	13
Bayesian Context Trees: Modelling and Exact Inference for Discrete Time Series	13
Hernando Ombao’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	12
Graph Based Gaussian Processes on Restricted Domains	12
Engression: extrapolation through the lens of distributional regression	12
Empirical Bayes PCA in High Dimensions	11
Andrej Srakar’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	11
Correction to: Semi-supervised approaches to efficient evaluation of model prediction performance	11
Cluster extent inference revisited: quantification and localisation of brain activity	10
Seconder of the Vote of Thanks to Donget al.and Contribution to the Discussion of ‘Gaussian Differential Privacy’	10
Ivor Cribben and Anastasiou Andreas’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	10
Broadcasted nonparametric tensor regression	10
Bertrand Clarke's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	10
J. Goseling and M.N.M. van Lieshout's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	10
Estimating heterogeneous treatment effects with right-censored data via causal survival forests	10
Tyler J. VanderWeele's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	10
A general framework for cutting feedback within modularized Bayesian inference	9
Scalable couplings for the random walk Metropolis algorithm	9
Authors’ Reply to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	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
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
Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding	9
Issue Information	8
Universal Prediction Band via Semi-Definite Programming	8
Efficient Manifold Approximation with Spherelets	8
Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data Analysis	8
Oliver Hines and Karla Diaz-Ordazʼs Contribution to the Discussion of ‘Assumption-Lean Inference For Generalised Linear Model Parameters’ by Vansteelandt and Dukes	8
Martin Larsson and Johannes Ruf’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	8
Kuldeep Kumar's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	8
Adaptive functional principal components analysis	8
Ryan Martin’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	8
Gradient synchronization for multivariate functional data, with application to brain connectivity	8
Autoregressive optimal transport models	7
Normalised latent measure factor models	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
Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation	7

Peter Krusche and Frank Bretz's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	7
On the instrumental variable estimation with many weak and invalid instruments	7
Erratum: Usable and precise asymptotics for generalized linear mixed model analysis and design	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
Two-Sample Inference for High-Dimensional Markov Networks	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
α-separability and adjustable combination of amplitude and phase model for functional data	7
Thorsten Dickhaus’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	6
Analysis of Networks via the Sparseβ-model	6
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation	6
Convexity and measures of statistical association	6
Sparse Kronecker product decomposition: a general framework of signal region detection in image regression	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
Ordering factorial experiments	6
Andrej Srakar’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	5
Multi-resolution subsampling for linear classification with massive data	5
Peng Ding’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	5
Correction to: Ordering factorial experiments	5
Priyantha Wijayatunga’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes, and Walker	5
Graphical methods for Order-of-Addition experiments	5
Derandomised knockoffs: leveraging e-values for false discovery rate control	5
Correction to: Holdout predictive checks for Bayesian model criticism	5
CovNet: Covariance Networks for Functional Data on Multidimensional Domains	5
Estimating means of bounded random variables by betting	5
Ensemble methods for testing a global null	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
Semi-parametric tensor factor analysis by iteratively projected singular value decomposition	4
Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC	4
Inference of Heterogeneous Treatment Effects using Observational Data with High-Dimensional Covariates	4
Stratification pattern enumerator and its applications	4
Jiaqi Gu and Guosheng Yin’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	4
Contents of Volume 84, 2022	4
Testing homogeneity: the trouble with sparse functional data	4
Optimal Statistical Inference for Individualized Treatment Effects in High-Dimensional Models	4
Randomized empirical likelihood test for ultra-high dimensional means under general covariances	4
Shakeel Gavioli-Akilagun’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	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
Spherical random projection	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
Martin Larsson, Aaditya Ramdas, and Johannes Ruf’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	3
Dimension-Free Mixing for High-Dimensional Bayesian Variable Selection	3
Causal inference with invalid instruments: post-selection problems and a solution using searching and sampling	3
Debiased inference for a covariate-adjusted regression function	3
Steven R Howard's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	3
Non-parametric inference about mean functionals of non-ignorable non-response data without identifying the joint distribution	3
Martingale posterior distributions	3
The Sceptical Bayes Factor for the Assessment of Replication Success	3
Yang Liu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	3
A fast asynchronous Markov chain Monte Carlo sampler for sparse Bayesian inference	3
Policy evaluation for temporal and/or spatial dependent experiments	3
Testing high-dimensional multinomials with applications to text analysis	3
Ayla Jungbluth and Johannes Lederer’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	2
Nonparametric, Tuning-Free Estimation of S-Shaped Functions	2
Isotonic subgroup selection	2
Minimax detection boundary and sharp optimal test for Gaussian graphical models	2
Kolyan Ray and Botond Szabo's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	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
Joshua Cape's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	2
Empirical Likelihood-Based Inference for Functional Means with Application to Wearable Device Data	2
Long-term causal inference under persistent confounding via data combination	2
Errata to “Functional Models for Time-Varying Random Objects”	2
Inferential Wasserstein Generative Adversarial Networks	2
Prediction and Outlier Detection in Classification Problems	2
Selecting informative conformal prediction sets with false coverage rate control	2
Richard Guo’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	2
Two-phase rejective sampling and its asymptotic properties	2
	2
Robust estimation and inference for expected shortfall regression with many regressors	2
Monotone response surface of multi-factor condition: estimation and Bayes classifiers	2
Probabilistic Richardson extrapolation	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
Model-Assisted Analyses of Cluster-Randomized Experiments	2
Philip B. Stark’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	2
Semiparametric Estimation for Causal Mediation Analysis with Multiple Causally Ordered Mediators	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
Joris Mulder’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	2

Supervised Multivariate Learning with Simultaneous Feature Auto-Grouping and Dimension Reduction	2
Priyantha Wijayatunga’s Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	1
Authors' reply to the Discussion of ‘Martingale Posterior Distributions’	1
Covariate Powered Cross-Weighted Multiple Testing	1
A Kernel-Expanded Stochastic Neural Network	1
Isotonic Distributional Regression	1
Confidence on the focal: conformal prediction with selection-conditional coverage	1
Robustness, model checking, and hierarchical models	1
Modelling matrix time series via a tensor CP-decomposition	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
General Bayesian Loss Function Selection and the use of Improper Models	1
Wenkai Xu’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide and Koolen	1
Graphical Criteria for Efficient Total Effect Estimation Via Adjustment in Causal Linear Models	1
Bayesian Inference for Risk Minimization via Exponentially Tilted Empirical Likelihood	1
The Confidence Interval Method for Selecting Valid Instrumental Variables	1
Seconder of the vote of thanks to Grünwald, de Heide, and Koolen and contribution to the Discussion of ‘Safe testing’	1
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization	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
GRASP: a goodness-of-fit test for classification learning	1
Augmented balancing weights as linear regression	1
False Discovery Rate Control with E-values	1
David Huk, Lorenzo Pacchiardi, Ritabrata Dutta and Mark Steel's contribution to the Discussion of ‘Martingale posterior distributions’ by Fong, Holmes and Walker	1
A nonparametric framework for treatment effect modifier discovery in high dimensions	1
Bo Zhang’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	1
Multivariate, heteroscedastic empirical Bayes via nonparametric maximum likelihood	1
Bayesian Estimation and Comparison of Conditional Moment Models	1
Torben Martinussen’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	1
Xiaoyue Niu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	1
Bayesian inference with thel1-ball prior: solving combinatorial problems with exact zeros	1
A focusing framework for testing bi-directional causal effects in Mendelian randomization	1
Dynamic synthetic control method for evaluating treatment effects in auto-regressive processes	1
Permutation-based true discovery guarantee by sum tests	1
Estimating a directed tree for extremes	1
Erratum: Anchor Regression: Heterogeneous Data Meet Causality	1
On the Cross-Validation Bias due to Unsupervised Preprocessing	1
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values	1
Doubly robust calibration of prediction sets under covariate shift	1
David Draper and Erdong Guo's contribution to the discussion of ‘Martingale posterior distributions’, by Fong, Holmes and Walker	1
Gilbert MacKenzie’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	1
Christine P. Chai's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	1
Causal inference on distribution functions	1
Issue Information	1
Christine P Chai's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	1
Leveraging the Fisher Randomization Test using Confidence Distributions: Inference, Combination and Fusion Learning	1
Another look at bandwidth-free inference: a sample splitting approach	1
Parameterizing and simulating from causal models	1
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
Kaizheng Wang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
A Graph-Theoretic Approach to Randomization Tests of Causal Effects under General Interference	0
Prediction sets adaptive to unknown covariate shift	0
Exact Monte Carlo likelihood-based inference for jump-diffusion processes	0
Quasi-Newton updating for large-scale distributed learning	0
Adaptive conformal classification with noisy labels	0
Selective Inference for Effect Modification Via the Lasso	0
Sequential Monte Carlo testing by betting	0
Functional Peaks-Over-Threshold Analysis	0
Corrigendum: Exact Bayesian inference in spatiotemporal Cox processes driven by multivariate Gaussian processes	0
Seconder 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’	0
Seconder of the vote of thanks to Fong, Holmes and Walker and contribution to the Discussion of ‘Martingale Posterior Distributions’	0
Philip S Thomas, Erik Learned-Miller and My Phan's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	0
Correction to: Optimal and Maximin Procedures for Multiple Testing Problems	0
Bayesian predictive decision synthesis	0
Eric J Tchetgen Tchetgen’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
Jorge Mateu's contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	0
AMF: Aggregated Mondrian Forests for Online Learning	0
Calibrating the Scan Statistic: Finite Sample Performance Versus Asymptotics	0
Gregor Steiner and Mark Steel’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	0
Christine P. Chai’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	0
Conformal Inference of Counterfactuals and Individual Treatment Effects	0
Statistical inference for multivariate extremes via a geometric approach	0
Statistical inference for high-dimensional panel functional time series	0
A stableness of resistance model for nonresponse adjustment with callback data	0
An Approximation Algorithm for Blocking of an Experimental Design	0
Prediction sets for high-dimensional mixture of experts models	0
James Jackson’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	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
Christian P. Robert and Joshua Bon’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	0
Two-way dynamic factor models for high-dimensional matrix-valued time series	0
Designing to detect heteroscedasticity in a regression model	0
Ilya Shpitser’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
David R. Bickel’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	0
Non-Reversible Parallel Tempering: A Scalable Highly Parallel MCMC Scheme	0
Adaptive experiments toward learning treatment effect heterogeneity	0
Sebastian Dietz’s Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	0
Model Identification Via Total Frobenius Norm of Multivariate Spectra	0
Covariate-adaptive randomization inference in matched designs	0
The variational method of moments	0
Robust Generalised Bayesian Inference for Intractable Likelihoods	0
Vintage factor analysis with Varimax performs statistical inference	0
Jason Wyse, James Ng, Arthur White and Michael Fop's contribution to the Discussion of ‘Root and community inference on the latent growth process of a network' by Crane and Xu	0
Core shrinkage covariance estimation for matrix-variate data	0
Proposer of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’	0
Modelling the COVID-19 Infection Trajectory: A Piecewise Linear Quantile Trend Model	0
Florian Pargent, David Goretzko and Timo von Oertzen's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
Gaussian Prepivoting for Finite Population Causal Inference	0