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 2020-10-01 to 2024-10-01.)

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
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
Modelling the COVID-19 Infection Trajectory: A Piecewise Linear Quantile Trend Model	13
High-Dimensional Principal Component Analysis with Heterogeneous Missingness	12
Prediction and Outlier Detection in Classification Problems	12
Use of Model Reparametrization to Improve Variational Bayes	11
Structure Learning for Extremal Tree Models	11
Prior Sample Size Extensions for Assessing Prior Impact and Prior-Likelihood Discordance	11
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
Instrument Residual Estimator for Any Response Variable with Endogenous Binary Treatment	10
Analysis of Networks via the Sparseβ-model	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
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
Estimation and Clustering in Popularity Adjusted Block Model	7
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
Modelling High-Dimensional Categorical Data using Nonconvex Fusion Penalties	6
The Proximal Robbins–Monro Method	6
Safe Testing	6

Inferential Wasserstein Generative Adversarial Networks	5
The Debiased Spatial Whittle Likelihood	5
Segmenting Time Series via Self-Normalisation	5
Prediction sets adaptive to unknown covariate shift	5
Small Area Estimation with Linked Data	5
High-dimensional Changepoint Estimation with Heterogeneous Missingness	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
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
Two-Sample Inference for High-Dimensional Markov Networks	4
Manifold Markov Chain Monte Carlo Methods for Bayesian Inference in Diffusion Models	4
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
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