Journal of the Royal Statistical Society Series B-Statistical Methodol

Article	Citations
Gaussian Differential Privacy	68
Transfer Learning for High-Dimensional Linear Regression: Prediction, Estimation and Minimax Optimality	45
Synthetic Controls with Staggered Adoption	40
Anchor Regression: Heterogeneous Data Meet Causality	36
Conformal Inference of Counterfactuals and Individual Treatment Effects	35
Covariate Powered Cross-Weighted Multiple Testing	30
Isotonic Distributional Regression	28
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization	22
Finite Sample Change Point Inference and Identification for High-Dimensional Mean Vectors	21
False Discovery Rate Control with E-values	21
A Statistical Interpretation of Spectral Embedding: The Generalised Random Dot Product Graph	21
Estimating heterogeneous treatment effects with right-censored data via causal survival forests	21
Non-Reversible Parallel Tempering: A Scalable Highly Parallel MCMC Scheme	20
High-Dimensional, Multiscale Online Changepoint Detection	18
Model-Assisted Analyses of Cluster-Randomized Experiments	18
Estimating means of bounded random variables by betting	17
Bayesian Context Trees: Modelling and Exact Inference for Discrete Time Series	16
Statistical Inference of the Value Function for Reinforcement Learning in Infinite-Horizon Settings	15
Statistical Inferences of Linear Forms for Noisy Matrix Completion	15
The Confidence Interval Method for Selecting Valid Instrumental Variables	15
Simple: Statistical Inference on Membership Profiles in Large Networks	14
Graphical Criteria for Efficient Total Effect Estimation Via Adjustment in Causal Linear Models	14
Modelling the COVID-19 Infection Trajectory: A Piecewise Linear Quantile Trend Model	13
GGM Knockoff Filter: False Discovery Rate Control for Gaussian Graphical Models	13
Assumption-lean Inference for Generalised Linear Model Parameters	13

Testing for a Change in Mean after Changepoint Detection	13
Smoothing Splines on Riemannian Manifolds, with Applications to 3D Shape Space	13
Gibbs Flow for Approximate Transport with Applications to Bayesian Computation	13
The Sceptical Bayes Factor for the Assessment of Replication Success	13
Selective Inference for Effect Modification Via the Lasso	13
High-Dimensional Principal Component Analysis with Heterogeneous Missingness	12
Prediction and Outlier Detection in Classification Problems	12
Prior Sample Size Extensions for Assessing Prior Impact and Prior-Likelihood Discordance	11
Use of Model Reparametrization to Improve Variational Bayes	11
Structure Learning for Extremal Tree Models	11
Instrument Residual Estimator for Any Response Variable with Endogenous Binary Treatment	10
Analysis of Networks via the Sparseβ-model	10
Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit	10
Robust Generalised Bayesian Inference for Intractable Likelihoods	10
Semiparametric Estimation for Causal Mediation Analysis with Multiple Causally Ordered Mediators	10
Optimal Thinning of MCMC Output	10
General Bayesian Loss Function Selection and the use of Improper Models	9
On Optimal Rerandomization Designs	9
The Barker Proposal: Combining Robustness and Efficiency in Gradient-Based MCMC	9
Derandomised knockoffs: leveraging e-values for false discovery rate control	9
AMF: Aggregated Mondrian Forests for Online Learning	9
On the Cross-Validation Bias due to Unsupervised Preprocessing	9
Approximate Laplace Approximations for Scalable Model Selection	9
Waste-Free Sequential Monte Carlo	8
Optimal Statistical Inference for Individualized Treatment Effects in High-Dimensional Models	8
On Identifiability and Consistency of The Nugget in Gaussian Spatial Process Models	8
Optimal Control of False Discovery Criteria in the Two-Group Model	8
Elastic integrative analysis of randomised trial and real-world data for treatment heterogeneity estimation	8
Estimation of Causal Quantile Effects with a Binary Instrumental Variable and Censored Data	8
Spatial Birth–Death–Move Processes: Basic Properties and Estimation of their Intensity Functions	8
Estimation and Clustering in Popularity Adjusted Block Model	7
A Statistical Test to Reject the Structural interpretation of a Latent Factor Model	7
Modelling matrix time series via a tensor CP-decomposition	7
Leveraging the Fisher Randomization Test using Confidence Distributions: Inference, Combination and Fusion Learning	7
Causal Inference with Spatio-Temporal Data: Estimating the Effects of Airstrikes on Insurgent Violence in Iraq	7
Proximal causal inference for complex longitudinal studies	7
Dimension-Free Mixing for High-Dimensional Bayesian Variable Selection	7
Functional Peaks-Over-Threshold Analysis	7
Modelling High-Dimensional Categorical Data using Nonconvex Fusion Penalties	6
The Proximal Robbins–Monro Method	6
Safe Testing	6
Efficient Learning of Optimal Individualized Treatment Rules for Heteroscedastic or Misspecified Treatment-Free Effect Models	6
Multiply Robust Estimation of Causal Effects under Principal Ignorability	6
Conformalized survival analysis	6
Gaussian Prepivoting for Finite Population Causal Inference	6
Identifying the latent space geometry of network models through analysis of curvature	6
Autoregressive optimal transport models	6
Efficient Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling	6
Permutation-based true discovery guarantee by sum tests	6
Estimating Optimal Treatment Rules with an Instrumental Variable: A Partial Identification Learning Approach	6

Inferential Wasserstein Generative Adversarial Networks	5
The Debiased Spatial Whittle Likelihood	5
Segmenting Time Series via Self-Normalisation	5
Small Area Estimation with Linked Data	5
High-dimensional Changepoint Estimation with Heterogeneous Missingness	5
Prediction sets adaptive to unknown covariate shift	5
Vintage factor analysis with Varimax performs statistical inference	5
Empirical Bayes PCA in High Dimensions	5
Linear Regression and Its Inference on Noisy Network-Linked Data	5
Joint Quantile Regression for Spatial Data	5
Principal Manifold Estimation Via Model Complexity Selection	5
Graph Based Gaussian Processes on Restricted Domains	5
On the causal interpretation of randomised interventional indirect effects	5
Usable and Precise Asymptotics for Generalized Linear Mixed Model Analysis and Design	5
Two-Sample Inference for High-Dimensional Markov Networks	4
Manifold Markov Chain Monte Carlo Methods for Bayesian Inference in Diffusion Models	4
Variable Selection with ABC Bayesian Forests	4
Fast and fair simultaneous confidence bands for functional parameters	4
A Graph-Theoretic Approach to Randomization Tests of Causal Effects under General Interference	4
Inference on the History of a Randomly Growing Tree	4
Bayesian Pyramids: identifiable multilayer discrete latent structure models for discrete data	4
Non-parametric inference about mean functionals of non-ignorable non-response data without identifying the joint distribution	4
Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data Analysis	4
Functional Structural Equation Model	4
Nonparametric Density Estimation Over Complicated Domains	3
On Efficient Dimension Reduction with Respect to the Interaction between Two Response Variables	3
Causal inference with invalid instruments: post-selection problems and a solution using searching and sampling	3
Bootstrap Inference for the Finite Population Mean under Complex Sampling Designs	3
Covariate adjustment in multiarmed, possibly factorial experiments	3
Ordering factorial experiments	3
Robust estimation and inference for expected shortfall regression with many regressors	3
Optimal and Maximin Procedures for Multiple Testing Problems	3
Efficient Manifold Approximation with Spherelets	3
Cluster extent inference revisited: quantification and localisation of brain activity	3
Increasing Power for Observational Studies of Aberrant Response: An Adaptive Approach	3
Iterative Alpha Expansion for Estimating Gradient-Sparse Signals from Linear Measurements	3
A model where the least trimmed squares estimator is maximum likelihood	3
Core shrinkage covariance estimation for matrix-variate data	3
A quantitative Heppes theorem and multivariate Bernoulli distributions	3
On the Optimality of Randomization in Experimental Design: How to Randomize for Minimax Variance and Design-Based Inference	3
Randomisation inference beyond the sharp null: bounded null hypotheses and quantiles of individual treatment effects	3
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	3
Empirical Likelihood-Based Inference for Functional Means with Application to Wearable Device Data	3
Sparse Kronecker product decomposition: a general framework of signal region detection in image regression	2
The DeCAMFounder: nonlinear causal discovery in the presence of hidden variables	2
Quasi-Stationary Monte Carlo and The Scale Algorithm	2
Fast Increased Fidelity Samplers for Approximate Bayesian Gaussian Process Regression	2
Nonparametric, Tuning-Free Estimation of S-Shaped Functions	2
Biased-sample empirical likelihood weighting for missing data problems: an alternative to inverse probability weighting	2
ZAP:Z-Value Adaptive Procedures for False Discovery Rate Control with Side Information	2
Nonparametric estimation of the continuous treatment effect with measurement error	2
Inference of Heterogeneous Treatment Effects using Observational Data with High-Dimensional Covariates	2
A nested error regression model with high-dimensional parameter for small area estimation	2
Ensemble methods for testing a global null	2
Two-way dynamic factor models for high-dimensional matrix-valued time series	2
Automatic change-point detection in time series via deep learning	2
The variational method of moments	2
Informative core identification in complex networks	2
Coupling-based Convergence Assessment of some Gibbs Samplers for High-Dimensional Bayesian Regression with Shrinkage Priors	2
Bayesian Estimation and Comparison of Conditional Moment Models	2
Monte Carlo goodness-of-fit tests for degree corrected and related stochastic blockmodels	2
An Approximation Algorithm for Blocking of an Experimental Design	2
Two-stage estimation and bias-corrected empirical likelihood in a partially linear single-index varying-coefficient model	2
Controlling the false discovery rate in transformational sparsity: Split Knockoffs	2
Bayesian fusion: scalable unification of distributed statistical analyses	2
Estimating and improving dynamic treatment regimes with a time-varying instrumental variable	2
Statistical inference for multivariate extremes via a geometric approach	2
Construction of Blocked Factorial Designs to Estimate Main Effects and Selected Two-Factor Interactions	2
Stratification pattern enumerator and its applications	2
Statistical inference for high-dimensional panel functional time series	2
Quantile autoregressive conditional heteroscedasticity	1
Model identification via total Frobenius norm of multivariate spectra	1
Root and community inference on the latent growth process of a network	1
Bayesian predictive decision synthesis	1
On inference in high-dimensional regression	1
Integrative conformal p-values for out-of-distribution testing with labelled outliers	1
Gradient synchronization for multivariate functional data, with application to brain connectivity	1
Causal inference on distribution functions	1
Blair Bilodeau's Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	1
Martingale posterior distributions	1

Authors’ reply to the Discussion of ‘Root and community inference on the latent growth process of a network’	1
Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC	1
Covariate-adaptive randomization inference in matched designs	1
Quasi-Newton updating for large-scale distributed learning	1
Non-agency interventions for causal mediation in the presence of intermediate confounding	1
Statistical testing under distributional shifts	1
GENIUS-MAWII: for robust Mendelian randomization with many weak invalid instruments	1
Heather Battey’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	1
Authors’ Reply to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	1
Strategic two-sample test via the two-armed bandit process	1
Parameterizing and simulating from causal models	1
Image response regression via deep neural networks	1
Broadcasted nonparametric tensor regression	1
Semiparametric Latent Class Analysis of Recurrent Event Data	1
Paired or Partially Paired Two-sample Tests With Unordered Samples	1
Estimating the efficiency gain of covariate-adjusted analyses in future clinical trials using external data	1
Testing homogeneity: the trouble with sparse functional data	1
Computationally efficient and data-adaptive changepoint inference in high dimension	1
Bayesian model selection via mean-field variational approximation	1
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis	1
Maxway CRT: improving the robustness of the model-X inference	1
Holdout predictive checks for Bayesian model criticism	1
Yanbo Tang's Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	1
On Functional Processes with Multiple Discontinuities	1
Exact Monte Carlo likelihood-based inference for jump-diffusion processes	1
Designing to detect heteroscedasticity in a regression model	1
Valid and Approximately Valid Confidence Intervals for Current Status Data	1
Elizabeth L Ogburn, Junhui Cai, Arun K Kuchibhotla, Richard A Berk and Andreas Buja’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteela	1
Bayesian inference with the l1-ball prior: solving combinatorial problems with exact zeros	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 Inference for Risk Minimization via Exponentially Tilted Empirical Likelihood	1
Full-model estimation for non-parametric multivariate finite mixture models	1
Semi-parametric tensor factor analysis by iteratively projected singular value decomposition	1
Thorsten Dickhaus’s contribution to the Discussion of “Safe Testing” by Grünwald, de Heide, and Koolen	0
Christian Hennig'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
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
Authors' reply to the Discussion of ‘Estimating means of bounded random variables by betting’	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
Filippo Ascolani, Antonio Lijoi, and Igor Prünster’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	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
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
Gregor Steiner and Mark Steel’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	0
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Correlation adjusted debiased Lasso: debiasing the Lasso with inaccurate covariate model	0
Index of Authors, Volume 82, 2020	0
Thomas S. Richardson and James M. Robins’ contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	0
Erratum: Optimal Control of False Discovery Criteria in the Two-Group Model	0
Alignment and comparison of directed networks via transition couplings of random walks	0
Kuldeep Kumar’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
Authors’ Reply to the Discussion of ‘Safe Testing’	0
Erratum: Usable and precise asymptotics for generalized linear mixed model analysis and design	0
Joris Mulder’s contribution to the Discussion of “Safe Testing” by Grünwald, de Heide, and Koolen	0
David Draper and Erdong Guo's contribution to the discussion of ‘Martingale posterior distributions’, by Fong, Holmes and Walker	0
Ilya Shpitser’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
Supervised Multivariate Learning with Simultaneous Feature Auto-Grouping and Dimension Reduction	0
	0
Normalised latent measure factor models	0
Isadora Antoniano Villalobos's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	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
Priyantha Wijayatunga’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes, and Walker	0
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	0
Yudong Chen and Yining Chen’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	0
Seconder of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’	0
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Catch me if you can: signal localization with knockoff e-values	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
Proposer of the vote of thanks to Grünwald, De Heide and Koolen and contribution to the Discussion of ‘Safe Testing’	0
Issue Information	0
Marco Cattaneo's contribution to the Discussion of “Safe Testing” by Grünwald, de Heide, and Koolen	0
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values	0
Maozai Tian and Keming Yu’s contribution to the Discussion of ‘Safe Testing’ by Grünwald, De Heide and Koolen	0
Eric J Tchetgen Tchetgen’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
Hien Nguyen’s contribution to the Discussion of “Estimating means of bounded random variables by betting” by Waudby-Smith and Ramdas	0
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Kaizheng Wang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
Proposer of the vote of thanks to Fong, Holmes and Walker and contribution to the Discussion of ‘Martingale Posterior Distributions’	0
Xiaoyue Niu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
Bo Zhang’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	0
Correction to: Optimal and Maximin Procedures for Multiple Testing Problems	0
Jorge Mateu's contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	0
The HulC: confidence regions from convex hulls	0
Mark Pilling's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
Correction to: Ruodu Wang's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	0
Peter Krusche and Frank Bretz's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	0
Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation	0
Erratum: Anchor Regression: Heterogeneous Data Meet Causality	0
Stefano Rizzelli’s contribution to the Discussion of ‘Safe Testing’ by Grünwald, De Heide and Koolen	0
Alexander Van Werde's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
Joshua Bon’s and Christian P Robert’s contribution to the Discussion of “Safe testing" by Grünwald, de Heide, and Koolen	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