OOIR: Observatory of International Research

Papers

(The TQCC of Journal of the Royal Statistical Society Series B-Statistical Methodol is 2. 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 2021-02-01 to 2025-02-01.)

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
Empirical Likelihood-Based Inference for Functional Means with Application to Wearable Device Data	12
Supervised Multivariate Learning with Simultaneous Feature Auto-Grouping and Dimension Reduction	12
Alignment and comparison of directed networks via transition couplings of random walks	11
Analysis of Networks via the Sparseβ-model	11
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
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
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
David Draper and Erdong Guo's contribution to the discussion of ‘Martingale posterior distributions’, by Fong, Holmes and Walker	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
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
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
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
Manifold Markov Chain Monte Carlo Methods for Bayesian Inference in Diffusion Models	5
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
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
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
Statistical testing under distributional shifts	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
Derandomised knockoffs: leveraging e-values for false discovery rate control	4
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
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
Another look at bandwidth-free inference: a sample splitting approach	2
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis	2
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