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	170
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’	65
Seconder of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’	58
Stefano Rizzelli’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	51
Strategic two-sample test via the two-armed bandit process	48
Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	46
On Functional Processes with Multiple Discontinuities	36
Correlation adjusted debiased Lasso: debiasing the Lasso with inaccurate covariate model	36
Safe testing	32
Catch me if you can: signal localization with knockoff e-values	32
Image response regression via deep neural networks	31
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	28
Yinqiu He, Yuqi Gu and Zhilian Ying's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	28
Computationally efficient and data-adaptive changepoint inference in high dimension	27
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	27
Corrected generalized cross-validation for finite ensembles of penalized estimators	25
Covariate adjustment in multiarmed, possibly factorial experiments	24
SymmPI: predictive inference for data with group symmetries	24
Statistical testing under distributional shifts	23
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis	22
Using a two-parameter sensitivity analysis framework to efficiently combine randomized and nonrandomized studies	21
Glenn Shafer’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	19
	19
Ying Zhou and Xinyi Zhang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	18

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
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
Strong oracle guarantees for partial penalized tests of high-dimensional generalized linear models	17
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’	17
Bootstrapping estimators based on the block maxima method	17
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
A unified generalization of the inverse regression methods via column selection	16
Robust model averaging prediction of longitudinal response with ultrahigh-dimensional covariates	15
Randomisation inference beyond the sharp null: bounded null hypotheses and quantiles of individual treatment effects	15
Testing many constraints in possibly irregular models using incomplete U-statistics	14
Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses	14
Estimating the efficiency gain of covariate-adjusted analyses in future clinical trials using external data	14
Conformal prediction with local weights: randomization enables robust guarantees	13
Conformalized survival analysis	13
Correction to: Semi-supervised approaches to efficient evaluation of model prediction performance	13
Thomas S. Richardson’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	13
Hernando Ombao’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	13
Spectral change point estimation for high-dimensional time series by sparse tensor decomposition	12
Broadcasted nonparametric tensor regression	12
Bayesian Context Trees: Modelling and Exact Inference for Discrete Time Series	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
Cluster extent inference revisited: quantification and localisation of brain activity	11
Engression: extrapolation through the lens of distributional regression	11
Orthogonalized moment aberration for mixed-level multi-stratum factorial designs with partially-relaxed orthogonal block structures	11
Empirical Bayes PCA in High Dimensions	11
Estimating heterogeneous treatment effects with right-censored data via causal survival forests	10
Seconder of the Vote of Thanks to Donget al.and Contribution to the Discussion of ‘Gaussian Differential Privacy’	10
J. Goseling and M.N.M. van Lieshout's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	9
Kuldeep Kumar's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	9
Ivor Cribben and Anastasiou Andreas’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	9
Bertrand Clarke's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	9
Authors’ Reply to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	9
Scalable couplings for the random walk Metropolis algorithm	9
Tyler J. VanderWeele'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
A general framework for cutting feedback within modularized Bayesian inference	8
Root cause discovery via permutations and Cholesky decomposition	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
Oliver Hines and Karla Diaz-Ordazʼs Contribution to the Discussion of ‘Assumption-Lean Inference For Generalised Linear Model Parameters’ by Vansteelandt and Dukes	8
Efficient Manifold Approximation with Spherelets	8
Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding	8
Zihao Wen and David L. Dowe’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	8
Adaptive functional principal components analysis	8
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	8
Gradient synchronization for multivariate functional data, with application to brain connectivity	8
Ryan Martin’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	8
Universal Prediction Band via Semi-Definite Programming	8
On the instrumental variable estimation with many weak and invalid instruments	8
Least squares for cardinal paired comparisons data	7

Kuldeep Kumar’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	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
Autoregressive optimal transport models	7
Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data Analysis	7
Issue Information	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’	6
α-separability and adjustable combination of amplitude and phase model for functional data	6
Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation	6
Yudong Chen and Yining Chen’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	6
Normalised latent measure factor models	6
Marta Catalano, Augusto Fasano, Matteo Giordano, and Giovanni Rebaudo’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	6
Correction to: Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	6
Convexity and measures of statistical association	6
Ordering factorial experiments	5
Inference with Mondrian random forests	5
Correction to: Ordering factorial experiments	5
Sparse Kronecker product decomposition: a general framework of signal region detection in image regression	5
Semiparametric localized principal stratification analysis with continuous strata	5
Andrej Srakar’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	5
Correction to: Holdout predictive checks for Bayesian model criticism	5
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation	5
Multi-task learning for sparsity pattern heterogeneity: statistical and computational perspectives	5
Priyantha Wijayatunga’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes, and Walker	5
Multi-resolution subsampling for linear classification with massive data	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
Estimating means of bounded random variables by betting	4
Ensemble methods for testing a global null	4
Semi-parametric tensor factor analysis by iteratively projected singular value decomposition	4
Debiased inference for a covariate-adjusted regression function	4
Randomized empirical likelihood test for ultra-high dimensional means under general covariances	4
Steven R Howard's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	4
Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC	4
CovNet: Covariance Networks for Functional Data on Multidimensional Domains	4
Graphical methods for Order-of-Addition experiments	4
Yunxiao Chen and Gongjun Xu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	4
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
A fast asynchronous Markov chain Monte Carlo sampler for sparse Bayesian inference	4
Derandomised knockoffs: leveraging e-values for false discovery rate control	4
Peng Ding’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	4
Jiaqi Gu and Guosheng Yin’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	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
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
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
Testing high-dimensional multinomials with applications to text analysis	3
Martin Larsson, Aaditya Ramdas, and Johannes Ruf’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	3
Minimax detection boundary and sharp optimal test for Gaussian graphical models	3
Selecting informative conformal prediction sets with false coverage rate control	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
Proposer of the vote of thanks to Rohe & Zeng and contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’	3
Long-term causal inference under persistent confounding via data combination	3
Philip B. Stark’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	3
Martingale posterior distributions	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
Prediction and Outlier Detection in Classification Problems	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
Causal inference with invalid instruments: post-selection problems and a solution using searching and sampling	3
Policy evaluation for temporal and/or spatial dependent experiments	3
Dimension-Free Mixing for High-Dimensional Bayesian Variable Selection	3
Spherical random projection	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
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
A focusing framework for testing bi-directional causal effects in Mendelian randomization	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
Another look at bandwidth-free inference: a sample splitting approach	2
Robustness, model checking, and hierarchical models	2
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Empirical Likelihood-Based Inference for Functional Means with Application to Wearable Device Data	2
Monotone response surface of multi-factor condition: estimation and Bayes classifiers	2
Isotonic subgroup selection	2
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values	2

Causal inference on distribution functions	2
Wenkai Xu’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide and Koolen	2
Frederic Schoenberg and Weng Kee Wong’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	2
Ordinary differential equation models for a collection of discretized functions	2
Xiaoyue Niu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	2
Bo Zhang’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	2
Augmented balancing weights as linear regression	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
Probabilistic Richardson extrapolation	2
Additive-Effect Assisted Learning	2
Permutation-based true discovery guarantee by sum tests	2
Confidence on the focal: conformal prediction with selection-conditional coverage	2
Christine P Chai's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	2
Multivariate, heteroscedastic empirical Bayes via nonparametric maximum likelihood	2
Seconder of the vote of thanks to Grünwald, de Heide, and Koolen and contribution to the Discussion of ‘Safe testing’	2
Modelling matrix time series via a tensor CP-decomposition	2
Robust detection of watermarks for large language models under human edits	2
David Draper and Erdong Guo's contribution to the discussion of ‘Martingale posterior distributions’, by Fong, Holmes and Walker	2
Robust estimation and inference for expected shortfall regression with many regressors	2
Principal stratification with continuous post-treatment variables: nonparametric identification and semiparametric estimation	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
Self-organizing state-space models with artificial dynamics	2
Gilbert MacKenzie’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	2
Torben Martinussen’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	1
Issue Information	1
On the Cross-Validation Bias due to Unsupervised Preprocessing	1
Quantile autoregressive conditional heteroscedasticity	1
A Kernel-Expanded Stochastic Neural Network	1
Samuel Pawel and Leonhard Held’s contribution to the Discussion of ‘Safe Testing’ by Grünwald, de Heide, and Koolen	1
False Discovery Rate Control with E-values	1
Censored quantile regression with time-dependent covariates	1
Non-agency interventions for causal mediation in the presence of intermediate confounding	1
A new integrative learning framework for integrating multiple secondary outcomes into primary outcome analysis: a case study on liver health	1
Bayesian analysis of product feature allocation models	1
Optimal individualized treatment rule for combination treatments under budget constraints	1
A quantitative Heppes theorem and multivariate Bernoulli distributions	1
General Bayesian Loss Function Selection and the use of Improper Models	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
Simplifying debiased inference via automatic differentiation and probabilistic programming	1
Optimal clustering by Lloyd’s algorithm for low-rank mixture model	1
Art Owen’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	1
Inference of dependency knowledge graph for Electronic Health Records	1
Karl Rohe and Muzhe Zeng’s reply to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’	1
Regularized halfspace depth for functional data	1
Doubly robust calibration of prediction sets under covariate shift	1
Estimating a directed tree for extremes	1
Coloured Gaussian directed acyclic graphical models	1
From denoising diffusions to denoising Markov models	1
Bayesian model selection via mean-field variational approximation	1
Correction to: X-vine models for multivariate extremes	1
On inference in high-dimensional regression	1
Issue Information	1
Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit	1
Dynamic synthetic control method for evaluating treatment effects in auto-regressive processes	1
Federated feature selection with false discovery rate control	1
A nonparametric framework for treatment effect modifier discovery in high dimensions	1
Testing for a Change in Mean after Changepoint Detection	1
GRASP: a goodness-of-fit test for classification learning	1
Nonparametric estimation via partial derivatives	1
Authors' reply to the Discussion of ‘Martingale Posterior Distributions’	1
Bayesian Inference for Risk Minimization via Exponentially Tilted Empirical Likelihood	1
Informative core identification in complex networks	1
Proximal causal inference for complex longitudinal studies	1
Functional Structural Equation Model	1
Parameterizing and simulating from causal models	1
Spatial effect detection regression for large-scale spatio-temporal covariates	1
Alexander Ly’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	1
Anastasios N. Angelopoulos’ contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	1
Graphical Criteria for Efficient Total Effect Estimation Via Adjustment in Causal Linear Models	1
Bayesian fusion: scalable unification of distributed statistical analyses	1
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
Huber means on Riemannian manifolds	0
Correction to: Optimal and Maximin Procedures for Multiple Testing Problems	0
An optimal design framework for lasso sign recovery	0
The variational method of moments	0
Eric J Tchetgen Tchetgen’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
Sam Power’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	0
Model identification via total Frobenius norm of multivariate spectra	0
Bayesian predictive decision synthesis	0
Qing Yang and Xin Tong’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	0
Prediction sets adaptive to unknown covariate shift	0
David R. Bickel’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	0
Kaizheng Wang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
Gregor Steiner and Mark Steel’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	0
Proposer of the vote of thanks to Fong, Holmes and Walker and contribution to the Discussion of ‘Martingale Posterior Distributions’	0
Two-way dynamic factor models for high-dimensional matrix-valued time series	0
Designing to detect heteroscedasticity in a regression model	0
Jorge Mateu's contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	0
Estimating maximal symmetries of regression functions via subgroup lattices	0
Identification and multiply robust estimation in causal mediation analysis across principal strata	0
Ilya Shpitser’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0