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	147
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’	107
Seconder of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’	70
Catch me if you can: signal localization with knockoff e-values	58
Stefano Rizzelli’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	54
Correlation adjusted debiased Lasso: debiasing the Lasso with inaccurate covariate model	49
On Functional Processes with Multiple Discontinuities	46
Image response regression via deep neural networks	45
Strategic two-sample test via the two-armed bandit process	41
Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	41
Yinqiu He, Yuqi Gu and Zhilian Ying's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	33
Safe testing	33
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	30
Proximal survival analysis to handle dependent right censoring	30
Computationally efficient and data-adaptive changepoint inference in high dimension	27
SymmPI: predictive inference for data with group symmetries	27
Isadora Antoniano Villalobos's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	26
Corrected generalized cross-validation for finite ensembles of penalized estimators	26
Covariate adjustment in multiarmed, possibly factorial experiments	25
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis	24
Statistical testing under distributional shifts	23
Synthetic Controls with Staggered Adoption	23
Glenn Shafer’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	23
	23
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	22
Rungang Han and Anru R. Zhangs contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe & Zeng	21
Strong oracle guarantees for partial penalized tests of high-dimensional generalized linear models	20
Bootstrapping estimators based on the block maxima method	20
Estimating the efficiency gain of covariate-adjusted analyses in future clinical trials using external data	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’	18
A unified generalization of the inverse regression methods via column selection	16
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	16
Testing many constraints in possibly irregular models using incomplete U-statistics	16
Robust model averaging prediction of longitudinal response with ultrahigh-dimensional covariates	16
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’	16
Randomisation inference beyond the sharp null: bounded null hypotheses and quantiles of individual treatment effects	15
Conformal prediction with local weights: randomization enables robust guarantees	15
Conformalized survival analysis	15
Thomas S. Richardson’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	14
Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses	14
Transfer Learning for High-Dimensional Linear Regression: Prediction, Estimation and Minimax Optimality	14
Hernando Ombao’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	13
Correction to: Semi-supervised approaches to efficient evaluation of model prediction performance	13
Orthogonalized moment aberration for mixed-level multi-stratum factorial designs with partially-relaxed orthogonal block structures	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
Graph Based Gaussian Processes on Restricted Domains	12
Cluster extent inference revisited: quantification and localisation of brain activity	12
Spectral change point estimation for high-dimensional time series by sparse tensor decomposition	12
Engression: extrapolation through the lens of distributional regression	12
Bayesian Context Trees: Modelling and Exact Inference for Discrete Time Series	12
Broadcasted nonparametric tensor regression	12
Seconder of the Vote of Thanks to Donget al.and Contribution to the Discussion of ‘Gaussian Differential Privacy’	11
Empirical Bayes PCA in High Dimensions	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	10
J. Goseling and M.N.M. van Lieshout's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	10
Tyler J. VanderWeele's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	10
Authors’ Reply to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	9
Ivor Cribben and Anastasiou Andreas’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	9
Efficient Manifold Approximation with Spherelets	9
Kuldeep Kumar's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	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
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
Scalable couplings for the random walk Metropolis algorithm	9
A general framework for cutting feedback within modularized Bayesian inference	9
Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding	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
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
Root cause discovery via permutations and Cholesky decomposition	8
Issue Information	8
On the instrumental variable estimation with many weak and invalid instruments	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

Adaptive functional principal components analysis	7
Goodness-of-fit tests for high-dimensional Gaussian graphical models via exchangeable sampling	7
Erratum: Usable and precise asymptotics for generalized linear mixed model analysis and design	7
Thorsten Dickhaus’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	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
Universal Prediction Band via Semi-Definite Programming	7
Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data Analysis	7
Autoregressive optimal transport models	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
Seconder of the vote of thanks to Rohe & Zeng and contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’	7
Zihao Wen and David L. Dowe’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	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
Ordering factorial experiments	6
α-separability and adjustable combination of amplitude and phase model for functional data	6
Priyantha Wijayatunga’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes, and Walker	6
Correction to: Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	6
Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation	6
Correction to: Ordering factorial experiments	6
Convexity and measures of statistical association	6
Semiparametric localized principal stratification analysis with continuous strata	6
Normalised latent measure factor models	6
Andrej Srakar’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	6
Graphical methods for Order-of-Addition experiments	5
Correction to: Holdout predictive checks for Bayesian model criticism	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
CovNet: Covariance Networks for Functional Data on Multidimensional Domains	5
Multi-resolution subsampling for linear classification with massive data	5
Semi-parametric tensor factor analysis by iteratively projected singular value decomposition	5
Peng Ding’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	5
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation	5
Randomized empirical likelihood test for ultra-high dimensional means under general covariances	4
Contents of Volume 84, 2022	4
Shakeel Gavioli-Akilagun’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	4
Sparse Kronecker product decomposition: a general framework of signal region detection in image regression	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
A fast asynchronous Markov chain Monte Carlo sampler for sparse Bayesian inference	4
Non-parametric inference about mean functionals of non-ignorable non-response data without identifying the joint distribution	4
The Sceptical Bayes Factor for the Assessment of Replication Success	4
Debiased inference for a covariate-adjusted regression function	4
Yunxiao Chen and Gongjun Xu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	4
Estimating means of bounded random variables by betting	4
Jiaqi Gu and Guosheng Yin’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	4
Steven R Howard's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	4
Spherical random projection	4
Testing high-dimensional multinomials with applications to text analysis	4
Dimension-Free Mixing for High-Dimensional Bayesian Variable Selection	4
Testing homogeneity: the trouble with sparse functional data	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
Derandomised knockoffs: leveraging e-values for false discovery rate control	4
Stratification pattern enumerator and its applications	4
Policy evaluation for temporal and/or spatial dependent experiments	4
Martin Larsson, Aaditya Ramdas, and Johannes Ruf’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	4
Martingale posterior distributions	4
Yang Liu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	4
Long-term causal inference under persistent confounding via data combination	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
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
Richard Guo’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	3
Principal stratification with continuous post-treatment variables: nonparametric identification and semiparametric estimation	3
Joshua Cape's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	3
Philip B. Stark’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	3
Causal inference with invalid instruments: post-selection problems and a solution using searching and sampling	3
Prediction and Outlier Detection in Classification Problems	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
Ayla Jungbluth and Johannes Lederer’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	3
Monotone response surface of multi-factor condition: estimation and Bayes classifiers	3
Minimax detection boundary and sharp optimal test for Gaussian graphical models	3
Selecting informative conformal prediction sets with false coverage rate control	3
Semiparametric Estimation for Causal Mediation Analysis with Multiple Causally Ordered Mediators	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
Isotonic subgroup selection	3
Additive-Effect Assisted Learning	2
A focusing framework for testing bi-directional causal effects in Mendelian randomization	2
Ordinary differential equation models for a collection of discretized functions	2
Seconder of the vote of thanks to Grünwald, de Heide, and Koolen and contribution to the Discussion of ‘Safe testing’	2

Empirical Likelihood-Based Inference for Functional Means with Application to Wearable Device Data	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
Supervised Multivariate Learning with Simultaneous Feature Auto-Grouping and Dimension Reduction	2
Joris Mulder’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	2
Causal inference on distribution functions	2
Probabilistic Richardson extrapolation	2
Robust detection of watermarks for large language models under human edits	2
Another look at bandwidth-free inference: a sample splitting approach	2
Bayesian Estimation and Comparison of Conditional Moment Models	2
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values	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
Nonparametric, Tuning-Free Estimation of S-Shaped Functions	2
Robust estimation and inference for expected shortfall regression with many regressors	2
Augmented balancing weights as linear regression	2
Robustness, model checking, and hierarchical models	2
Permutation-based true discovery guarantee by sum tests	2
Xiaoyue Niu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	2
Modelling matrix time series via a tensor CP-decomposition	2
	2
Bo Zhang’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	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
On inference in high-dimensional regression	1
Spatial effect detection regression for large-scale spatio-temporal covariates	1
Correction to: X-vine models for multivariate extremes	1
Anastasios N. Angelopoulos’ contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	1
Regularized halfspace depth for functional data	1
Bayesian fusion: scalable unification of distributed statistical analyses	1
Estimating a directed tree for extremes	1
Functional Structural Equation Model	1
Alexander Ly’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	1
Proximal causal inference for complex longitudinal studies	1
Confidence on the focal: conformal prediction with selection-conditional coverage	1
General Bayesian Loss Function Selection and the use of Improper Models	1
Parameterizing and simulating from causal models	1
From denoising diffusions to denoising Markov models	1
Multivariate, heteroscedastic empirical Bayes via nonparametric maximum likelihood	1
Efficient Learning of Optimal Individualized Treatment Rules for Heteroscedastic or Misspecified Treatment-Free Effect Models	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
Censored quantile regression with time-dependent covariates	1
Bayesian analysis of product feature allocation models	1
On the Cross-Validation Bias due to Unsupervised Preprocessing	1
Torben Martinussen’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	1
Inference of dependency knowledge graph for Electronic Health Records	1
Nonparametric estimation via partial derivatives	1
Graphical Criteria for Efficient Total Effect Estimation Via Adjustment in Causal Linear Models	1
A quantitative Heppes theorem and multivariate Bernoulli distributions	1
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization	1
Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit	1
Bayesian inference with thel1-ball prior: solving combinatorial problems with exact zeros	1
Testing for a Change in Mean after Changepoint Detection	1
False Discovery Rate Control with E-values	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
Art Owen’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	1
Gilbert MacKenzie’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	1
Optimal individualized treatment rule for combination treatments under budget constraints	1
Bayesian model selection via mean-field variational approximation	1
GRASP: a goodness-of-fit test for classification learning	1
Non-agency interventions for causal mediation in the presence of intermediate confounding	1
Optimal clustering by Lloyd’s algorithm for low-rank mixture model	1
Simplifying debiased inference via automatic differentiation and probabilistic programming	1
Issue Information	1
Karl Rohe and Muzhe Zeng’s reply to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’	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
Dynamic synthetic control method for evaluating treatment effects in auto-regressive processes	1
Informative core identification in complex networks	1
Authors' reply to the Discussion of ‘Martingale Posterior Distributions’	1
Issue Information	1
Doubly robust calibration of prediction sets under covariate shift	1
Quantile autoregressive conditional heteroscedasticity	1
Wenkai Xu’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide and Koolen	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
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
Michael Lavine and James Hodges’ 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
	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
Two-way dynamic factor models for high-dimensional matrix-valued time series	0
An optimal design framework for lasso sign recovery	0
Model identification via total Frobenius norm of multivariate spectra	0
Huber means on Riemannian manifolds	0
Kaizheng Wang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
Jorge Mateu's contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	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
Bayesian predictive decision synthesis	0
Designing to detect heteroscedasticity in a regression model	0
Correction to: Optimal and Maximin Procedures for Multiple Testing Problems	0
Gregor Steiner and Mark Steel’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	0