Journal of the Royal Statistical Society Series B-Statistical Methodol

Article	Citations
Valid and Approximately Valid Confidence Intervals for Current Status Data	68
	55
	40
Issue Information	35
Kuldeep Kumar’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	33
Erratum: Anchor Regression: Heterogeneous Data Meet Causality	29
Rachael V. Phillips and Mark J. van der Laan’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	24
Erratum: Optimal Control of False Discovery Criteria in the Two-Group Model	23
Peter Krusche and Frank Bretz's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	22
Jorge Mateu’s Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	22
Jorge Mateu's contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	21
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’	20
Causal inference on distribution functions	19
Modelling matrix time series via a tensor CP-decomposition	18
Gregor Steiner and Mark Steel’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	16
Seconder of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’	16
Correction to: Ruodu Wang's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	15
Thomas S. Richardson and James M. Robins’ contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	15
The HulC: confidence regions from convex hulls	14
Simultaneous directional inference	14
Controlling the false discovery rate in transformational sparsity: Split Knockoffs	13
Mark Pilling's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	13
Bayesian predictive decision synthesis	13
Gaussian Differential Privacy	13
Erratum: Usable and precise asymptotics for generalized linear mixed model analysis and design	13

Ordering factorial experiments	13
Supervised Multivariate Learning with Simultaneous Feature Auto-Grouping and Dimension Reduction	12
Empirical Likelihood-Based Inference for Functional Means with Application to Wearable Device Data	12
Alignment and comparison of directed networks via transition couplings of random walks	11
Analysis of Networks via the Sparseβ-model	11
Kaizheng Wang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	10
Eric J Tchetgen Tchetgen’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	10
Normalised latent measure factor models	10
Christian Hennig's contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	10
Seconder of the vote of thanks to Rohe & Zeng and contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’	10
Ilya Shpitser’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	10
David Draper and Erdong Guo's contribution to the discussion of ‘Martingale posterior distributions’, by Fong, Holmes and Walker	9
Yudong Chen and Yining Chen’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	9
David Huk, Lorenzo Pacchiardi, Ritabrata Dutta and Mark Steel's contribution to the Discussion of ‘Martingale posterior distributions’ by Fong, Holmes and Walker	9
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’	9
Bo Zhang’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	9
Seconder of the vote of thanks to Waudby-Smith and Ramdas and contribution to the Discussion of ‘Estimating means of bounded random variables by betting’	9
Designing to detect heteroscedasticity in a regression model	9
Alexander Van Werde's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	9
Robustness, model checking, and hierarchical models	8
Hien Nguyen’s contribution to the Discussion of “Estimating means of bounded random variables by betting” by Waudby-Smith and Ramdas	8
Gaussian Prepivoting for Finite Population Causal Inference	8
Covariate Powered Cross-Weighted Multiple Testing	8
High-dimensional Changepoint Estimation with Heterogeneous Missingness	8
The DeCAMFounder: nonlinear causal discovery in the presence of hidden variables	7
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values	7
Joris Mulder’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	7
Catch me if you can: signal localization with knockoff e-values	7
Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation	7
Two-way dynamic factor models for high-dimensional matrix-valued time series	7
On Functional Processes with Multiple Discontinuities	7
Image response regression via deep neural networks	7
Joshua Bon and Christian P. Robert’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	6
Proposer of the vote of thanks to Grünwald, de Heide, and Koolen and contribution to the Discussion of ‘Safe testing’	6
Correlation adjusted debiased Lasso: debiasing the Lasso with inaccurate covariate model	6
Marco Cattaneo's contribution to the Discussion of “Safe testing” by Grünwald, de Heide, and Koolen	6
Authors’ reply to the Discussion of ‘Safe testing’	6
Safe testing	6
Holdout predictive checks for Bayesian model criticism	6
Stefano Rizzelli’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	6
Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	6
Thorsten Dickhaus’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	6
Approximate Laplace Approximations for Scalable Model Selection	6
Manifold Markov Chain Monte Carlo Methods for Bayesian Inference in Diffusion Models	5
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	5
Two-stage estimation and bias-corrected empirical likelihood in a partially linear single-index varying-coefficient model	5
Integrative conformal p-values for out-of-distribution testing with labelled outliers	5
Frequentist inference for semi-mechanistic epidemic models with interventions	5
Strategic two-sample test via the two-armed bandit process	5
α-separability and adjustable combination of amplitude and phase model for functional data	5

A model where the least trimmed squares estimator is maximum likelihood	5
Yinqiu He, Yuqi Gu and Zhilian Ying's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	5
Heather Battey’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	5
Correction to: Optimal and Maximin Procedures for Multiple Testing Problems	5
Isotonic Distributional Regression	5
Xiaoyue Niu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	4
Priyantha Wijayatunga’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes, and Walker	4
Debiased inference on heterogeneous quantile treatment effects with regression rank scores	4
Priyantha Wijayatunga’s Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	4
Statistical testing under distributional shifts	4
Filippo Ascolani, Antonio Lijoi, and Igor Prünster’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	4
Elastic integrative analysis of randomised trial and real-world data for treatment heterogeneity estimation	4
Jiwei Zhao’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	4
Derandomised knockoffs: leveraging e-values for false discovery rate control	4
Isadora Antoniano Villalobos's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	4
Causal Inference with Spatio-Temporal Data: Estimating the Effects of Airstrikes on Insurgent Violence in Iraq	4
	4
Sandwich boosting for accurate estimation in partially linear models for grouped data	3
Issue Information	3
Vladimir Vovk's contribution to the Discussion of “Estimating means of bounded random variables by betting” by Waudby-Smith and Ramdas	3
Peng Ding’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	3
Correction to: Holdout predictive checks for Bayesian model criticism	3
Seconder of the vote of thanks to Grünwald, de Heide, and Koolen and contribution to the Discussion of ‘Safe testing’	3
Judith ter Schure’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	3
Anna Choi and Weng Kee Wong’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	3
An Approximation Algorithm for Blocking of an Experimental Design	3
Proposer of the Vote of Thanks and Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	3
Rong Jiang and Keming Yu's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	3
Covariate-adaptive randomization inference in matched designs	3
Neural networks meet random forests	3
Ian Hunt's Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	3
Seconder of the Vote of thanks to Vansteelandt and Dukes and Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’	3
Jiayi Li, Yuantong Li and Xiaowu Dai's contribution to the Discussion of ‘Estimating means of bounded random variables by betting' by Waudby-Smith and Ramdas	3
Wang and Leng (2016), High-Dimensional Ordinary Least-Squares Projection for Screening Variables, Journal of The Royal Statistical Society Series B, 78, 589–611	3
Andrej Srakar’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	3
Sander Greenland’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	3
Proximal survival analysis to handle dependent right censoring	2
Usable and Precise Asymptotics for Generalized Linear Mixed Model Analysis and Design	2
Prior Sample Size Extensions for Assessing Prior Impact and Prior-Likelihood Discordance	2
Joint Quantile Regression for Spatial Data	2
Conformal Inference of Counterfactuals and Individual Treatment Effects	2
James Jackson’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	2
Sparse Kronecker product decomposition: a general framework of signal region detection in image regression	2
Correction to: Ordering factorial experiments	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
Selective Inference for Effect Modification Via the Lasso	2
Covariate adjustment in multiarmed, possibly factorial experiments	2
Michael Lavine and James Hodges’ Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	2
Semi-parametric tensor factor analysis by iteratively projected singular value decomposition	2
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	2
Spatial confidence regions for combinations of excursion sets in image analysis	2
CovNet: Covariance Networks for Functional Data on Multidimensional Domains	2
Estimating means of bounded random variables by betting	2
A nested error regression model with high-dimensional parameter for small area estimation	2
Daniela Cialfi’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	2
Heather Battey’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	2
Proposer of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’	2
Sam Power’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	2
Another look at bandwidth-free inference: a sample splitting approach	2
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis	2
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’	1
Model identification via total Frobenius norm of multivariate spectra	1
A Statistical Test to Reject the Structural interpretation of a Latent Factor Model	1
Sebastian Dietz’s Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	1
Least squares estimation of a quasiconvex regression function	1
Ying Zhou and Xinyi Zhang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	1
On the role of surrogates in the efficient estimation of treatment effects with limited outcome data	1
Testing homogeneity: the trouble with sparse functional data	1
Proposer of the vote of thanks to Fong, Holmes and Walker and contribution to the Discussion of ‘Martingale Posterior Distributions’	1
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’	1
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	1
Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses	1
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	1
Optimal Thinning of MCMC Output	1
Ensemble methods for testing a global null	1
A focusing framework for testing bi-directional causal effects in Mendelian randomization	1
Functional Peaks-Over-Threshold Analysis	1
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation	1
Spatial Birth–Death–Move Processes: Basic Properties and Estimation of their Intensity Functions	1
Christine P. Chai's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	1

	1
Computationally efficient and data-adaptive changepoint inference in high dimension	1
Contents of Volume 85, 2023	1
Corrected generalized cross-validation for finite ensembles of penalized estimators	1
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	1
Moving beyond population variable importance: concept, theory and applications of individual variable importance	1
Instrument Residual Estimator for Any Response Variable with Endogenous Binary Treatment	1
Full-model estimation for non-parametric multivariate finite mixture models	1
Statistical inference for high-dimensional panel functional time series	1
Assumption-lean Inference for Generalised Linear Model Parameters	1
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’	1
Robust Generalised Bayesian Inference for Intractable Likelihoods	1
Issue Information	1
X-vine models for multivariate extremes	1
Optimal Statistical Inference for Individualized Treatment Effects in High-Dimensional Models	1
Bayesian Inference for Risk Minimization via Exponentially Tilted Empirical Likelihood	1
Authors' reply to the Discussion of ‘Estimating means of bounded random variables by betting’	1
David Siegmund's contribution to the Discussion of “Estimating means of bounded random variables by betting” by Waudby-Smith and Ramdas	1
Permutation-based true discovery guarantee by sum tests	1
Calibrating the Scan Statistic: Finite Sample Performance Versus Asymptotics	1
Monte Carlo goodness-of-fit tests for degree corrected and related stochastic blockmodels	1
	1
Synthetic Controls with Staggered Adoption	1
Quasi-Newton updating for large-scale distributed learning	1
Optimal individualized treatment rule for combination treatments under budget constraints	0
Manifold lifting: scaling Markov chain Monte Carlo to the vanishing noise regime	0
Gradient synchronization for multivariate functional data, with application to brain connectivity	0
Autoregressive optimal transport models	0
Samuel Pawel and Leonhard Held’s contribution to the Discussion of ‘Safe Testing’ by Grünwald, de Heide, and Koolen	0
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	0
Automatic change-point detection in time series via deep learning	0
Modelling High-Dimensional Categorical Data using Nonconvex Fusion Penalties	0
Probabilistic Richardson extrapolation	0
Prediction and Outlier Detection in Classification Problems	0
Bertrand Clarke's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	0
Authors' reply to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
Ivor Cribben and Anastasiou Andreas’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	0
Alexander Ly’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	0
On the Optimality of Randomization in Experimental Design: How to Randomize for Minimax Variance and Design-Based Inference	0
Multiply Robust Estimation of Causal Effects under Principal Ignorability	0
Efficient Learning of Optimal Individualized Treatment Rules for Heteroscedastic or Misspecified Treatment-Free Effect Models	0
Mats J Stensrud and Aaron L. Sarvet’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
Informative core identification in complex networks	0
Optimal and Maximin Procedures for Multiple Testing Problems	0
Exact Monte Carlo likelihood-based inference for jump-diffusion processes	0
Dynamic modelling of sparse longitudinal data and functional snippets with stochastic differential equations	0
Peter J. Bickel, Derek Bean, Aiyou Chen and Purnamrita Sarkar's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
Christian P. Robert and Joshua Bon’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	0
The variational method of moments	0
Estimating and improving dynamic treatment regimes with a time-varying instrumental variable	0
Testing for a Change in Mean after Changepoint Detection	0
Yang Feng and Jiajin Sun’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	0
Vladimir Vovk’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	0
Biased-sample empirical likelihood weighting for missing data problems: an alternative to inverse probability weighting	0
Isotonic subgroup selection	0
Authors’ Reply to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	0
On inference in high-dimensional regression	0
A stableness of resistance model for nonresponse adjustment with callback data	0
Estimation of Causal Quantile Effects with a Binary Instrumental Variable and Censored Data	0
Kuldeep Kumar's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
Kanti Mardia’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	0
Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding	0
Philip B. Stark’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	0
Statistical inference for multivariate extremes via a geometric approach	0
On Efficient Dimension Reduction with Respect to the Interaction between Two Response Variables	0
Causal inference with invalid instruments: post-selection problems and a solution using searching and sampling	0
Adaptive conformal classification with noisy labels	0
J. Goseling and M.N.M. van Lieshout's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	0
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	0
High-Dimensional, Multiscale Online Changepoint Detection	0
Principal Manifold Estimation Via Model Complexity Selection	0
Issue Information	0
Seconder of the Vote of Thanks to Donget al.and Contribution to the Discussion of ‘Gaussian Differential Privacy’	0
Yanbo Tang'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
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
Neil Dey, Ryan Martin, and Jonathan P. Williams’ contribution to the Discussion of ‘Safe Testing’ by Grünwald, de Heide, and Koolen	0
Extended fiducial inference: toward an automated process of statistical inference	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
Vintage factor analysis with Varimax performs statistical inference	0
Contents of Volume 86, 2024	0
High-Dimensional Principal Component Analysis with Heterogeneous Missingness	0
Semiparametric Estimation for Causal Mediation Analysis with Multiple Causally Ordered Mediators	0
Luigi Pace and Alessandra Salvan’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	0
From denoising diffusions to denoising Markov models	0
Efficient Manifold Approximation with Spherelets	0
Tamás P. Papp, Paul Fearnhead, and Chris Sherlock’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	0
Issue Information	0
Minimax detection boundary and sharp optimal test for Gaussian graphical models	0
Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit	0
Kolyan Ray and Botond Szabo's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	0
Scalable couplings for the random walk Metropolis algorithm	0
Tyler J. VanderWeele's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
Prediction sets for high-dimensional mixture of experts models	0
General Bayesian Loss Function Selection and the use of Improper Models	0