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	87
Seconder of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’	69
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’	69
Stefano Rizzelli’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	46
Strategic two-sample test via the two-armed bandit process	41
Correlation adjusted debiased Lasso: debiasing the Lasso with inaccurate covariate model	40
Skew-symmetric approximations of posterior distributions	36
Safaa K. Kadhem’s contribution to the Discussion on ‘Statistical exploration of the manifold hypothesis’ by Nick Whiteley, Annie Grayb, and Patrick Rubin-Delanchy	35
Zihao Wen and David L. Dowe’s contribution to the Discussion of ‘Statistical exploration of the manifold hypothesis’ by Whiteley et al.	33
Statistical inference for Gaussian Whittle–Matérn fields on metric graphs	33
Catch me if you can: signal localization with knockoff e-values	33
Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	30
Image response regression via deep neural networks	27
Safe testing	23
Yinqiu He, Yuqi Gu and Zhilian Ying's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	23
Proposer of the vote of thanks to Whiteley et al. and contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’	22
Isadora Antoniano Villalobos's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	22
Using a two-parameter sensitivity analysis framework to efficiently combine randomized and nonrandomized studies	21
Scalability of Metropolis-within-Gibbs schemes for high-dimensional Bayesian models	20
SymmPI: predictive inference for data with group symmetries	19
Covariate adjustment in multiarmed, possibly factorial experiments	19
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	19
Oracle arrays and their use for constructing space-filling designs	18
Mei Dong, Linbo Wang, Lin Liu, and Oliver Dukes's contribution to the Discussion of ‘Regression by composition’ by Farewell et al	17
Anytime validity is free: inducing sequential tests	17

Statistical testing under distributional shifts	17
Proximal survival analysis to handle dependent right censoring	16
Computationally efficient and data-adaptive changepoint inference in high dimension	16
Pitman efficiency lower bounds for multivariate distribution-free tests based on optimal transport	16
Corrected generalized cross-validation for finite ensembles of penalized estimators	15
	14
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis	14
Glenn Shafer’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	13
A unified generalization of the inverse regression methods via column selection	13
Ramses Mena Chavez's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	13
Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses	13
Ying Zhou and Xinyi Zhang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	13
Rungang Han and Anru R. Zhangs contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe & Zeng	13
Heather Battey’s invited contribution to the discussion of ‘Regression by composition’ by Farewell et al	12
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’	12
Strong oracle guarantees for partial penalized tests of high-dimensional generalized linear models	12
López de Prado and Porcu’s contribution to the Discussion of ‘Regression by compositio’ by Farewell et al	12
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	12
Maozai Tian, Shuo Liu, and Tan Meng’s contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al.	12
I-Chen Lee and Weng-Kee Wong’s contribution to the Discussion of ‘Regression by composition’ by Farewell et al	12
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’	12
Randomisation inference beyond the sharp null: bounded null hypotheses and quantiles of individual treatment effects	11
Conformal prediction with local weights: randomization enables robust guarantees	11
Hernando Ombao’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	11
Estimating the efficiency gain of covariate-adjusted analyses in future clinical trials using external data	11
Cluster extent inference revisited: quantification and localisation of brain activity	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
Testing many constraints in possibly irregular models using incomplete U-statistics	11
Bootstrapping estimators based on the block maxima method	11
Conformalized survival analysis	11
Robust model averaging prediction of longitudinal response with ultrahigh-dimensional covariates	11
Broadcasted nonparametric tensor regression	10
Safaa K Kadhem's contribution to the Discussion of ‘Regression by composition’ by Farewell et al	10
Estimating heterogeneous treatment effects with right-censored data via causal survival forests	10
Seconder of the vote of thanks to Bruns-Smith et al. and contribution to the Discussion of ‘Augmented balancing weights as linear regression’	10
Correction to: Semi-supervised approaches to efficient evaluation of model prediction performance	10
Orthogonalized moment aberration for mixed-level multi-stratum factorial designs with partially-relaxed orthogonal block structures	10
Spectral change point estimation for high-dimensional time series by sparse tensor decomposition	10
Scalable couplings for the random walk Metropolis algorithm	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
Engression: extrapolation through the lens of distributional regression	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
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
Gradient synchronization for multivariate functional data, with application to brain connectivity	8
Gesine Reinert’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	8
A general framework for cutting feedback within modularized Bayesian inference	8
Penalized empirical likelihood over decentralized networks	8
The synthetic instrument: from sparse association to sparse causation	8

Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding	8
Simon et al.’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	8
Safaa K. Kadhem’s contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al.	7
Universal Prediction Band via Semi-Definite Programming	7
Least squares for cardinal paired comparisons data	7
Zihao Wen and David L. Dowe’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	7
Root cause discovery via permutations and Cholesky decomposition	7
Martin Larsson and Johannes Ruf’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	7
Sequential model confidence sets	7
Tyler J. VanderWeele's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	7
Ryan Martin’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	7
Goodness-of-fit tests for high-dimensional Gaussian graphical models via exchangeable sampling	7
Arun Chind’s contribution to the discussion of ‘Regression by composition’ by Farewell et al	7
α-separability and adjustable combination of amplitude and phase model for functional data	6
Post-detection inference for sequential changepoint localization	6
Autoregressive optimal transport models	6
Erratum: Usable and precise asymptotics for generalized linear mixed model analysis and design	6
Yudong Chen and Yining Chen’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	6
Correction to: Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	6
Convexity and measures of statistical association	6
Principal stratification with U-statistics under principal ignorability	6
On the instrumental variable estimation with many weak and invalid instruments	6
Seconder of the vote of thanks to Rohe & Zeng and contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’	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
Model privacy: a unified framework for understanding model stealing attacks and defences	6
Ordering factorial experiments	6
Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data Analysis	6
Adaptive functional principal components analysis	6
Thorsten Dickhaus’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	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
Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation	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
Derandomised knockoffs: leveraging e-values for false discovery rate control	5
Correction to: Ordering factorial experiments	5
Multi-task learning for sparsity pattern heterogeneity: statistical and computational perspectives	5
Inference with Mondrian random forests	5
Autoregressive networks with dependent edges	5
Priyantha Wijayatunga’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes, and Walker	5
Normalised latent measure factor models	5
Semiparametric localized principal stratification analysis with continuous strata	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
Stratification pattern enumerator and its applications	4
Scalable Bayesian inference for heat kernel Gaussian processes on manifolds	4
Jiaqi Gu and Guosheng Yin’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	4
Multi-resolution subsampling for linear classification with massive data	4
Semi-parametric tensor factor analysis by iteratively projected singular value decomposition	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
Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC	4
Vern T Farewell’s contribution to the Discussion of ‘Regression by composition’ by Farewell et al	4
Ensemble methods for testing a global null	4
Si-Yang Li, David van Dyk and Maximilian Autenreith's contribution to the Discussion of ‘Regression by composition’ by Farewell et al	4
Combining evidence across filtrations	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
Randomized empirical likelihood test for ultra-high dimensional means under general covariances	4
Archer Gong Zhang's contribution to the Discussion of ‘Regression by composition’ by Farewell et al	4
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation	4
Sparse Kronecker product decomposition: a general framework of signal region detection in image regression	4
Estimating means of bounded random variables by betting	4
Contents of Volume 84, 2022	4
Fully decentralized inference for spatial data using low-rank models	3
A fast asynchronous Markov chain Monte Carlo sampler for sparse Bayesian inference	3
Online inference under over-parameterized models with hidden confounders	3
Jiangfeng Wang, Rong Jiang, Keming Yu’s contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al.	3
Melanie Weber’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	3
Martingale posterior distributions	3
Jiawei Shan, Chao Ying, and Jiwei Zhao’s contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al.	3
Dimension-Free Mixing for High-Dimensional Bayesian Variable Selection	3
Testing homogeneity: the trouble with sparse functional data	3
Spherical random projection	3
Cross-validation with antithetic Gaussian randomization	3
Policy evaluation for temporal and/or spatial dependent experiments	3
Testing high-dimensional multinomials with applications to text analysis	3
Philip B. Stark’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	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
Martin Larsson, Aaditya Ramdas, and Johannes Ruf’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	3

Yang Liu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	3
Alexander Modell’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	3
Non-parametric inference about mean functionals of non-ignorable non-response data without identifying the joint distribution	3
Minimax detection boundary and sharp optimal test for Gaussian graphical models	3
Ayla Jungbluth and Johannes Lederer’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	2
Joshua Cape's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	2
Two-phase rejective sampling and its asymptotic properties	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
Kolyan Ray and Botond Szabo's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	2
Robustness, model checking, and hierarchical models	2
David Draper and Erdong Guo's contribution to the discussion of ‘Martingale posterior distributions’, by Fong, Holmes and Walker	2
Joris Mulder’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	2
Long-term causal inference under persistent confounding via data combination	2
Additive-Effect Assisted Learning	2
Richard Guo’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	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
Andrej Srakar’s contribution to the Discussion of ‘Regression by composition' by Farewell et al	2
Selecting informative conformal prediction sets with false coverage rate control	2
The causal effects of modified treatment policies under network interference	2
Empirical Likelihood-Based Inference for Functional Means with Application to Wearable Device Data	2
Bo Zhang’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	2
Probabilistic Richardson extrapolation	2
Isotonic subgroup selection	2
Seconder of the vote of thanks to Whiteley et al. and Contribution to the Discussion of ‘Statistical exploration of the manifold hypothesis’	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
Selective randomization inference for adaptive experiments	2
Principal stratification with continuous post-treatment variables: nonparametric identification and semiparametric estimation	2
Causal inference with invalid instruments: post-selection problems and a solution using searching and sampling	2
Gaussianized design optimization for covariate balance in randomized experiments	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
Kiho Park, Yo Joong Choe, and Yibo Jiang’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	2
Monotone response surface of multi-factor condition: estimation and Bayes classifiers	2
Robust estimation and inference for expected shortfall regression with many regressors	2
Xiaoyue Niu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	1
Correction to: X-vine models for multivariate extremes	1
Robust detection of watermarks for large language models under human edits	1
ART: distribution-free and model-agnostic changepoint detection with finite-sample guarantees	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
Estimating a directed tree for extremes	1
Stephen Senn's contribution to the discussion of ‘Regression by Composition’ by Farewell et al	1
Anastasios N. Angelopoulos’ contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	1
Authors' reply to the Discussion of ‘Martingale Posterior Distributions’	1
Karl Rohe and Muzhe Zeng’s reply to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’	1
Bayesian inference with thel1-ball prior: solving combinatorial problems with exact zeros	1
Ian Gallagher’s contribution to the Discussion of ‘Statistical exploration of the manifold hypothesis’ by Whiteley et al.	1
Wenkai Xu’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide and Koolen	1
Issue Information	1
Permutation-based true discovery guarantee by sum tests	1
Bayesian analysis of product feature allocation models	1
Alberto Bordino and Olga Klopp’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	1
Parametric and nonparametric symmetries in graphical models for extremes	1
Seconder of the vote of thanks to Grünwald, de Heide, and Koolen and contribution to the Discussion of ‘Safe testing’	1
Issue Information	1
Modelling matrix time series via a tensor CP-decomposition	1
Inference of dependency knowledge graph for Electronic Health Records	1
Augmented balancing weights as linear regression	1
Informative core identification in complex networks	1
Dynamic synthetic control method for evaluating treatment effects in auto-regressive processes	1
GRASP: a goodness-of-fit test for classification learning	1
Optimal clustering by Lloyd’s algorithm for low-rank mixture model	1
Multiple randomization designs: estimation and inference with interference	1
Marta Catalano, Augusto Fasano, and Giovanni Rebaudo’s contribution to the discussion of ‘Martingale posterior distributions’ by Fong, Holmes and Walker	1
Supriya Tiwari and Pallavi Basu’s contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al.	1
Simplifying debiased inference via automatic differentiation and probabilistic programming	1
Thomas Maullin-Sapey’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	1
Samuel Pawel and Leonhard Held’s contribution to the Discussion of ‘Safe Testing’ by Grünwald, de Heide, and Koolen	1
Multivariate, heteroscedastic empirical Bayes via nonparametric maximum likelihood	1
General Bayesian Loss Function Selection and the use of Improper Models	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
Censored quantile regression with time-dependent covariates	1
Ordinary differential equation models for a collection of discretized functions	1
Parameterizing and simulating from causal models	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
Alexander Ly’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	1
Causal inference on distribution functions	1
Torben Martinussen’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	1
Regularized halfspace depth for functional data	1
From denoising diffusions to denoising Markov models	1
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values	1
Confidence on the focal: conformal prediction with selection-conditional coverage	1
A quantitative Heppes theorem and multivariate Bernoulli distributions	1
Self-organizing state-space models with artificial dynamics	1
Nonparametric estimation via partial derivatives	1
Doubly robust calibration of prediction sets under covariate shift	1
Modelling with categorical features via exact fusion and sparsity regularization	1
Martin Schlather and Milan Stehlík’s contribution to the Discussion of ‘Statistical exploration of the manifold hypothesis’ by N. Whiteley et al.	1
Art Owen’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	1
Christine P Chai's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	1
Federated feature selection with false discovery rate control	1
A focusing framework for testing bi-directional causal effects in Mendelian randomization	1
Coloured Gaussian directed acyclic graphical models	1
Another look at bandwidth-free inference: a sample splitting approach	1
A nonparametric framework for treatment effect modifier discovery in high dimensions	1
Professor Garib Nath Singh’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Nick Whiteley et al.	0