OOIR: Observatory of International Research

Papers

(The TQCC of Journal of the Royal Statistical Society Series B-Statistical Methodol is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)

Article	Citations
Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models	501
A Simple New Approach to Variable Selection in Regression, with Application to Genetic Fine Mapping	446
Unbiased Markov Chain Monte Carlo Methods with Couplings	52
Gaussian Differential Privacy	48
Graphical Models for Extremes	44
Anchor Regression: Heterogeneous Data Meet Causality	32
Synthetic Controls with Staggered Adoption	30
Transfer Learning for High-Dimensional Linear Regression: Prediction, Estimation and Minimax Optimality	30
Covariate Powered Cross-Weighted Multiple Testing	26
Isotonic Distributional Regression	19
Conformal Inference of Counterfactuals and Individual Treatment Effects	18
A Statistical Interpretation of Spectral Embedding: The Generalised Random Dot Product Graph	17
Finite Sample Change Point Inference and Identification for High-Dimensional Mean Vectors	17
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization	16
A Scalable Estimate of the Out-of-Sample Prediction Error via Approximate Leave-One-Out Cross-Validation	16
Goodness-of-fit Testing in High Dimensional Generalized Linear Models	16
Robust Tests for Treatment Effect in Survival Analysis under Covariate-Adaptive Randomization	16
Bayesian Context Trees: Modelling and Exact Inference for Discrete Time Series	15
Testing Relevant Hypotheses in Functional Time Series via Self-Normalization	15
False Discovery Rate Control with E-values	15
Non-Reversible Parallel Tempering: A Scalable Highly Parallel MCMC Scheme	15
Beta–Negative Binomial Auto-Regressions for Modelling Integer-Valued Time Series with Extreme Observations	15
Model-Assisted Analyses of Cluster-Randomized Experiments	14
Statistical Inference of the Value Function for Reinforcement Learning in Infinite-Horizon Settings	14
A Unified Data-Adaptive Framework for High Dimensional Change Point Detection	13

Estimating heterogeneous treatment effects with right-censored data via causal survival forests	13
High-Dimensional, Multiscale Online Changepoint Detection	13
The Confidence Interval Method for Selecting Valid Instrumental Variables	13
Estimating means of bounded random variables by betting	12
Modelling the COVID-19 Infection Trajectory: A Piecewise Linear Quantile Trend Model	12
Gibbs Flow for Approximate Transport with Applications to Bayesian Computation	12
Smoothing Splines on Riemannian Manifolds, with Applications to 3D Shape Space	12
Simple: Statistical Inference on Membership Profiles in Large Networks	11
Robust Testing in Generalized Linear Models by Sign Flipping Score Contributions	11
Statistical Inferences of Linear Forms for Noisy Matrix Completion	11
Graphical Criteria for Efficient Total Effect Estimation Via Adjustment in Causal Linear Models	11
The Sceptical Bayes Factor for the Assessment of Replication Success	11
GGM Knockoff Filter: False Discovery Rate Control for Gaussian Graphical Models	11
Prior Sample Size Extensions for Assessing Prior Impact and Prior-Likelihood Discordance	10
Use of Model Reparametrization to Improve Variational Bayes	9
On Optimal Rerandomization Designs	9
Approximate Laplace Approximations for Scalable Model Selection	9
Testing for a Change in Mean after Changepoint Detection	9
Structure Learning for Extremal Tree Models	9
A Flexible Framework for Hypothesis Testing in High Dimensions	9
An Information Theoretic Approach for Selecting Arms in Clinical Trials	9
Prediction and Outlier Detection in Classification Problems	9
Optimal Thinning of MCMC Output	9
Quasi-Bayes Properties of a Procedure for Sequential Learning in Mixture Models	8
High-Dimensional Principal Component Analysis with Heterogeneous Missingness	8
Analysis of Networks via the Sparseβ-model	8
Spatial Birth–Death–Move Processes: Basic Properties and Estimation of their Intensity Functions	8
Superconsistent Estimation of Points of Impact in Non-Parametric Regression with Functional Predictors	7
On the Cross-Validation Bias due to Unsupervised Preprocessing	7
Robust Generalised Bayesian Inference for Intractable Likelihoods	7
Waste-Free Sequential Monte Carlo	7
Instrument Residual Estimator for Any Response Variable with Endogenous Binary Treatment	7
AMF: Aggregated Mondrian Forests for Online Learning	7
Derandomised knockoffs: leveraging e-values for false discovery rate control	7
The Barker Proposal: Combining Robustness and Efficiency in Gradient-Based MCMC	6
Selective Inference for Effect Modification Via the Lasso	6
On Identifiability and Consistency of The Nugget in Gaussian Spatial Process Models	6
Optimal Statistical Inference for Individualized Treatment Effects in High-Dimensional Models	6
Elastic integrative analysis of randomised trial and real-world data for treatment heterogeneity estimation	6
Optimal Control of False Discovery Criteria in the Two-Group Model	6
Assumption-lean Inference for Generalised Linear Model Parameters	6
Functional Peaks-Over-Threshold Analysis	6
Small Area Estimation with Linked Data	5
Gaussian Prepivoting for Finite Population Causal Inference	5
Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit	5
Inferential Wasserstein Generative Adversarial Networks	5
Leveraging the Fisher Randomization Test using Confidence Distributions: Inference, Combination and Fusion Learning	5
Joint Quantile Regression for Spatial Data	5
Estimation of Causal Quantile Effects with a Binary Instrumental Variable and Censored Data	5
General Bayesian Loss Function Selection and the use of Improper Models	5

A Statistical Test to Reject the Structural interpretation of a Latent Factor Model	5
Causal Inference with Spatio-Temporal Data: Estimating the Effects of Airstrikes on Insurgent Violence in Iraq	5
Estimation and Clustering in Popularity Adjusted Block Model	5
Semiparametric Estimation for Causal Mediation Analysis with Multiple Causally Ordered Mediators	5
Modelling High-Dimensional Categorical Data using Nonconvex Fusion Penalties	4
Two-Sample Inference for High-Dimensional Markov Networks	4
The Debiased Spatial Whittle Likelihood	4
Optimal Alpha Spending for Sequential Analysis with Binomial Data	4
Causal Isotonic Regression	4
Graph Based Gaussian Processes on Restricted Domains	4
A Graph-Theoretic Approach to Randomization Tests of Causal Effects under General Interference	4
Linear Regression and Its Inference on Noisy Network-Linked Data	4
On the causal interpretation of randomised interventional indirect effects	4
Variable Selection with ABC Bayesian Forests	4
Efficient Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling	4
Estimating Optimal Treatment Rules with an Instrumental Variable: A Partial Identification Learning Approach	4
Modified Likelihood root in High Dimensions	4
Usable and Precise Asymptotics for Generalized Linear Mixed Model Analysis and Design	4
On the Optimality of Randomization in Experimental Design: How to Randomize for Minimax Variance and Design-Based Inference	3
Non-parametric inference about mean functionals of non-ignorable non-response data without identifying the joint distribution	3
Bootstrap Inference for the Finite Population Mean under Complex Sampling Designs	3
Covariate adjustment in multiarmed, possibly factorial experiments	3
High-dimensional Changepoint Estimation with Heterogeneous Missingness	3
Estimating Densities with Non-Linear Support by Using Fisher–Gaussian Kernels	3
Functional Structural Equation Model	3
Vintage factor analysis with Varimax performs statistical inference	3
Dimension-Free Mixing for High-Dimensional Bayesian Variable Selection	3
The Proximal Robbins–Monro Method	3
Permutation-based true discovery guarantee by sum tests	3
Manifold Markov Chain Monte Carlo Methods for Bayesian Inference in Diffusion Models	3
Nonparametric Density Estimation Over Complicated Domains	3
Identifying the latent space geometry of network models through analysis of curvature	3
Efficient Learning of Optimal Individualized Treatment Rules for Heteroscedastic or Misspecified Treatment-Free Effect Models	3
Empirical Bayes PCA in High Dimensions	3
Inference for Two-Stage Sampling Designs	3
Conformalized survival analysis	3
Modelling matrix time series via a tensor CP-decomposition	3
On Efficient Dimension Reduction with Respect to the Interaction between Two Response Variables	3
A quantitative Heppes theorem and multivariate Bernoulli distributions	3