Journal of the Royal Statistical Society Series B-Statistical Methodol

Article	Citations
Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models	465
A Simple New Approach to Variable Selection in Regression, with Application to Genetic Fine Mapping	416
Unbiased Markov Chain Monte Carlo Methods with Couplings	51
Graphical Models for Extremes	41
Gaussian Differential Privacy	39
Anchor Regression: Heterogeneous Data Meet Causality	30
Robust Estimation via Robust Gradient Estimation	26
Synthetic Controls with Staggered Adoption	24
Covariate Powered Cross-Weighted Multiple Testing	23
Transfer Learning for High-Dimensional Linear Regression: Prediction, Estimation and Minimax Optimality	22
Finite Sample Change Point Inference and Identification for High-Dimensional Mean Vectors	17
A Scalable Estimate of the Out-of-Sample Prediction Error via Approximate Leave-One-Out Cross-Validation	16
Isotonic Distributional Regression	16
Robust Tests for Treatment Effect in Survival Analysis under Covariate-Adaptive Randomization	16
Goodness-of-fit Testing in High Dimensional Generalized Linear Models	16
Beta–Negative Binomial Auto-Regressions for Modelling Integer-Valued Time Series with Extreme Observations	15
Testing Relevant Hypotheses in Functional Time Series via Self-Normalization	15
A Statistical Interpretation of Spectral Embedding: The Generalised Random Dot Product Graph	14
Conformal Inference of Counterfactuals and Individual Treatment Effects	14
Model-Assisted Analyses of Cluster-Randomized Experiments	13
False Discovery Rate Control with E-values	13
Bayesian Context Trees: Modelling and Exact Inference for Discrete Time Series	13
Statistical Inference of the Value Function for Reinforcement Learning in Infinite-Horizon Settings	13
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization	12
Gibbs Flow for Approximate Transport with Applications to Bayesian Computation	12

Modelling the COVID-19 Infection Trajectory: A Piecewise Linear Quantile Trend Model	12
Estimating means of bounded random variables by betting	12
Non-Reversible Parallel Tempering: A Scalable Highly Parallel MCMC Scheme	11
The Confidence Interval Method for Selecting Valid Instrumental Variables	11
Graphical Criteria for Efficient Total Effect Estimation Via Adjustment in Causal Linear Models	11
Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities	11
Estimating heterogeneous treatment effects with right-censored data via causal survival forests	11
GGM Knockoff Filter: False Discovery Rate Control for Gaussian Graphical Models	11
A Unified Data-Adaptive Framework for High Dimensional Change Point Detection	11
Simple: Statistical Inference on Membership Profiles in Large Networks	11
High-Dimensional, Multiscale Online Changepoint Detection	10
Smoothing Splines on Riemannian Manifolds, with Applications to 3D Shape Space	10
Statistical Inferences of Linear Forms for Noisy Matrix Completion	10
Robust Testing in Generalized Linear Models by Sign Flipping Score Contributions	10
The Sceptical Bayes Factor for the Assessment of Replication Success	10
Prior Sample Size Extensions for Assessing Prior Impact and Prior-Likelihood Discordance	10
Use of Model Reparametrization to Improve Variational Bayes	9
Optimal Thinning of MCMC Output	9
An Information Theoretic Approach for Selecting Arms in Clinical Trials	9
A Flexible Framework for Hypothesis Testing in High Dimensions	9
Quasi-Bayes Properties of a Procedure for Sequential Learning in Mixture Models	8
On Optimal Rerandomization Designs	8
Approximate Laplace Approximations for Scalable Model Selection	8
Structure Learning for Extremal Tree Models	8
High-Dimensional Principal Component Analysis with Heterogeneous Missingness	7
Robust Generalised Bayesian Inference for Intractable Likelihoods	7
Testing for a Change in Mean after Changepoint Detection	7
Analysis of Networks via the Sparseβ-model	7
Prediction and Outlier Detection in Classification Problems	7
On the Cross-Validation Bias due to Unsupervised Preprocessing	7
Optimal, Two-Stage, Adaptive Enrichment Designs for Randomized Trials, using Sparse Linear Programming	7
Optimal Control of False Discovery Criteria in the Two-Group Model	6
Functional Peaks-Over-Threshold Analysis	6
Instrument Residual Estimator for Any Response Variable with Endogenous Binary Treatment	6
Selective Inference for Effect Modification Via the Lasso	6
Waste-Free Sequential Monte Carlo	6
Optimal Statistical Inference for Individualized Treatment Effects in High-Dimensional Models	6
Estimation of Causal Quantile Effects with a Binary Instrumental Variable and Censored Data	5
Superconsistent Estimation of Points of Impact in Non-Parametric Regression with Functional Predictors	5
Semiparametric Estimation for Causal Mediation Analysis with Multiple Causally Ordered Mediators	5
On Bandwidth Choice for Spatial Data Density Estimation	5
Derandomised knockoffs: leveraging e-values for false discovery rate control	5
Estimation and Clustering in Popularity Adjusted Block Model	5
Inferential Wasserstein Generative Adversarial Networks	5
The Barker Proposal: Combining Robustness and Efficiency in Gradient-Based MCMC	5
Small Area Estimation with Linked Data	5
Gaussian Prepivoting for Finite Population Causal Inference	5
AMF: Aggregated Mondrian Forests for Online Learning	5
On Identifiability and Consistency of The Nugget in Gaussian Spatial Process Models	5
Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit	5

Spatial Birth–Death–Move Processes: Basic Properties and Estimation of their Intensity Functions	5
Causal Inference with Spatio-Temporal Data: Estimating the Effects of Airstrikes on Insurgent Violence in Iraq	5
Joint Quantile Regression for Spatial Data	4
Two-Sample Inference for High-Dimensional Markov Networks	4
General Bayesian Loss Function Selection and the use of Improper Models	4
Efficient Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling	4
A Statistical Test to Reject the Structural interpretation of a Latent Factor Model	4
Elastic integrative analysis of randomised trial and real-world data for treatment heterogeneity estimation	4
Usable and Precise Asymptotics for Generalized Linear Mixed Model Analysis and Design	4
Optimal Alpha Spending for Sequential Analysis with Binomial Data	4
Linear Regression and Its Inference on Noisy Network-Linked Data	4
Modified Likelihood root in High Dimensions	4
Assumption-lean Inference for Generalised Linear Model Parameters	4
Modelling High-Dimensional Categorical Data using Nonconvex Fusion Penalties	4
The Debiased Spatial Whittle Likelihood	4
Leveraging the Fisher Randomization Test using Confidence Distributions: Inference, Combination and Fusion Learning	4
Causal Isotonic Regression	4
Empirical Bayes PCA in High Dimensions	3
Inference for Two-Stage Sampling Designs	3
On the causal interpretation of randomised interventional indirect effects	3
On Efficient Dimension Reduction with Respect to the Interaction between Two Response Variables	3
Efficient Learning of Optimal Individualized Treatment Rules for Heteroscedastic or Misspecified Treatment-Free Effect Models	3
On the Optimality of Randomization in Experimental Design: How to Randomize for Minimax Variance and Design-Based Inference	3
Graph Based Gaussian Processes on Restricted Domains	3
The Proximal Robbins–Monro Method	3
Modelling matrix time series via a tensor CP-decomposition	3
Variable Selection with ABC Bayesian Forests	3
A Graph-Theoretic Approach to Randomization Tests of Causal Effects under General Interference	3
Vintage factor analysis with Varimax performs statistical inference	3
Dimension-Free Mixing for High-Dimensional Bayesian Variable Selection	3
Bootstrap Inference for the Finite Population Mean under Complex Sampling Designs	3
High-dimensional Changepoint Estimation with Heterogeneous Missingness	3
Estimating Optimal Treatment Rules with an Instrumental Variable: A Partial Identification Learning Approach	3
Estimating Densities with Non-Linear Support by Using Fisher–Gaussian Kernels	3
Identifying the latent space geometry of network models through analysis of curvature	2
A quantitative Heppes theorem and multivariate Bernoulli distributions	2
Fast and fair simultaneous confidence bands for functional parameters	2
Principal Manifold Estimation Via Model Complexity Selection	2
Coupling-based Convergence Assessment of some Gibbs Samplers for High-Dimensional Bayesian Regression with Shrinkage Priors	2
Inference of Heterogeneous Treatment Effects using Observational Data with High-Dimensional Covariates	2
Permutation-based true discovery guarantee by sum tests	2
Manifold Markov Chain Monte Carlo Methods for Bayesian Inference in Diffusion Models	2
Autoregressive optimal transport models	2
Prediction sets adaptive to unknown covariate shift	2
Nonparametric Density Estimation Over Complicated Domains	2
The variational method of moments	2
Segmenting Time Series via Self-Normalisation	2
Non-parametric inference about mean functionals of non-ignorable non-response data without identifying the joint distribution	2
Increasing Power for Observational Studies of Aberrant Response: An Adaptive Approach	2
Quasi-Stationary Monte Carlo and The Scale Algorithm	2
False Discovery and its Control in Low Rank Estimation	2
Functional Structural Equation Model	2
Bayesian Pyramids: identifiable multilayer discrete latent structure models for discrete data	2
Reply to the Correction by Grover and Kaur: A New Randomized Response Model	2
Multiply Robust Estimation of Causal Effects under Principal Ignorability	2
ZAP:Z-Value Adaptive Procedures for False Discovery Rate Control with Side Information	2
Adaptive Designs for Optimal Observed Fisher Information	2
Covariate adjustment in multiarmed, possibly factorial experiments	2
Iterative Alpha Expansion for Estimating Gradient-Sparse Signals from Linear Measurements	2
A model where the least trimmed squares estimator is maximum likelihood	2
Optimal and Maximin Procedures for Multiple Testing Problems	2
Informative core identification in complex networks	1
Causal inference with invalid instruments: post-selection problems and a solution using searching and sampling	1
Cluster extent inference revisited: quantification and localisation of brain activity	1
Randomisation inference beyond the sharp null: bounded null hypotheses and quantiles of individual treatment effects	1
Conformalized survival analysis	1
Statistical inference for high-dimensional panel functional time series	1
A nested error regression model with high-dimensional parameter for small area estimation	1
Two-stage estimation and bias-corrected empirical likelihood in a partially linear single-index varying-coefficient model	1
Nonparametric, Tuning-Free Estimation of S-Shaped Functions	1
Designing to detect heteroscedasticity in a regression model	1
Proximal causal inference for complex longitudinal studies	1
Causal inference on distribution functions	1
Inference on the History of a Randomly Growing Tree	1
Biased-sample empirical likelihood weighting for missing data problems: an alternative to inverse probability weighting	1
Paired or Partially Paired Two-sample Tests With Unordered Samples	1
	1
Bayesian Inference for Risk Minimization via Exponentially Tilted Empirical Likelihood	1
Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC	1
Computationally efficient and data-adaptive changepoint inference in high dimension	1

Monte Carlo goodness-of-fit tests for degree corrected and related stochastic blockmodels	1
Fast Increased Fidelity Samplers for Approximate Bayesian Gaussian Process Regression	1
Empirical Likelihood-Based Inference for Functional Means with Application to Wearable Device Data	1
Robust estimation and inference for expected shortfall regression with many regressors	1
Bayesian predictive decision synthesis	1
Estimating and improving dynamic treatment regimes with a time-varying instrumental variable	1
Valid and Approximately Valid Confidence Intervals for Current Status Data	1
Efficient Manifold Approximation with Spherelets	1
Exact Monte Carlo likelihood-based inference for jump-diffusion processes	1
Construction of Blocked Factorial Designs to Estimate Main Effects and Selected Two-Factor Interactions	1
Florian Pargent, David Goretzko and Timo von Oertzen's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	1
Bayesian Estimation and Comparison of Conditional Moment Models	1
Semi-parametric tensor factor analysis by iteratively projected singular value decomposition	1
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	1
Sparse Kronecker product decomposition: a general framework of signal region detection in image regression	1
Spatiotemporal Modelling using Integro-Difference Equations with Bivariate Stable Kernels	1
Controlling the false discovery rate in transformational sparsity: Split Knockoffs	1
Bayesian fusion: scalable unification of distributed statistical analyses	1
Ordering factorial experiments	1
Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data Analysis	1
Statistical testing under distributional shifts	0
Seconder of the vote of thanks to Rohe & Zeng and contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’	0
Issue Information	0
Ilya Shpitser’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
Jiwei Zhao’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
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”	0
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Jorge Mateu's contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	0
Sam Power's contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	0
Hien Nguyen’s contribution to the Discussion of “Estimating means of bounded random variables by betting” by Waudby-Smith and Ramdas	0
Quasi-Newton updating for large-scale distributed learning	0
Peter Krusche and Frank Bretz's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	0
David Huk, Lorenzo Pacchiardi, Ritabrata Dutta and Mark Steel's contribution to the Discussion of ‘Martingale posterior distributions’ by Fong, Holmes and Walker	0
Erratum: Anchor Regression: Heterogeneous Data Meet Causality	0
Michael Lavine and James Hodges’ Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
	0
Issue Information	0
Rong Jiang and Keming Yu's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	0
Image response regression via deep neural networks	0
Erratum: Usable and precise asymptotics for generalized linear mixed model analysis and design	0
Another look at bandwidth-free inference: a sample splitting approach	0
The DeCAMFounder: nonlinear causal discovery in the presence of hidden variables	0
Correction to: Ordering factorial experiments	0
Seconder of the vote of thanks to Evans & Didelez and contribution to the Discussion of ‘Parameterizing and Simulating from Causal Models’	0
CovNet: Covariance Networks for Functional Data on Multidimensional Domains	0
Strategic two-sample test via the two-armed bandit process	0
Model identification via total Frobenius norm of multivariate spectra	0
Kaizheng Wang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
Seconder of the Vote of thanks to Vansteelandt and Dukes and Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’	0
Eric J Tchetgen Tchetgen’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
Priyantha Wijayatunga’s Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	0
Bo Zhang’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	0
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Holdout predictive checks for Bayesian model criticism	0
Daniela Cialfi’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	0
Index of Authors, Volume 82, 2020	0
Yinqiu He, Yuqi Gu and Zhilian Ying's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
Erratum: Optimal Control of False Discovery Criteria in the Two-Group Model	0
Issue Information	0
Proposer of the Vote of Thanks and Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
Integrative conformal p-values for out-of-distribution testing with labelled outliers	0
On Functional Processes with Multiple Discontinuities	0
Spatial confidence regions for combinations of excursion sets in image analysis	0
The HulC: confidence regions from convex hulls	0
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’	0
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	0
Thomas S. Richardson and James M. Robins’ contribution to the Discussion of ‘Parameterizing and Simulating from Causal Models’ by Evans and Didelez’	0
James Jackson’s Contribution to the Discussion of ‘The Discussion Meeting on Probabilistic and Statistical Aspects of Machine Learning’	0
Mark Pilling's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
Konstantin Siroki and Korbinian Strimmer’s contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe and Zeng	0
Normalised latent measure factor models	0
Issue Information	0
Christian Hennig's contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
Wang and Leng (2016), High-Dimensional Ordinary Least-Squares Projection for Screening Variables, Journal of The Royal Statistical Society Series B, 78, 589–611	0
Heather Battey’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
Issue Information	0
Yudong Chen and Yining Chen's contribution to the Discussion of “the Discussion Meeting on Probabilistic and statistical aspects of machine learning”	0
Ensemble methods for testing a global null	0
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’	0
Xiaoyue Niu'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 ‘Gaussian Differential Privacy’ by Dong et al.	0
Simultaneous directional inference	0
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	0
Anna Choi and Weng Kee Wong’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
Kuldeep Kumar’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis	0
David Draper and Erdong Guo's contribution to the discussion of ‘Martingale posterior distributions’, by Fong, Holmes and Walker	0
Supervised Multivariate Learning with Simultaneous Feature Auto-Grouping and Dimension Reduction	0
Vladimir Vovk's contribution to the Discussion of “Estimating means of bounded random variables by betting” by Waudby-Smith and Ramdas	0
Two-way dynamic factor models for high-dimensional matrix-valued time series	0
	0
Authors' reply to the Discussion of ‘Estimating means of bounded random variables by betting’	0
Gregor Steiner and Mark Steel’s contribution to the Discussion of ‘Parameterizing and Simulating from Causal Models’ by Evans and Didelez’	0
An Approximation Algorithm for Blocking of an Experimental Design	0
Alexander Van Werde's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0