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 2021-03-01 to 2025-03-01.)

Article	Citations
Valid and Approximately Valid Confidence Intervals for Current Status Data	94
	64
Issue Information	50
Kuldeep Kumar’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	43
Erratum: Anchor Regression: Heterogeneous Data Meet Causality	34
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	34
Erratum: Optimal Control of False Discovery Criteria in the Two-Group Model	31
Peter Krusche and Frank Bretz's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	30
Jorge Mateu’s Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	29
Eric J Tchetgen Tchetgen’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	26
Ilya Shpitser’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	24
Christian Hennig's contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	24
Correction to: Ruodu Wang's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	23
The HulC: confidence regions from convex hulls	20
Mark Pilling's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	18
Designing to detect heteroscedasticity in a regression model	18
Erratum: Usable and precise asymptotics for generalized linear mixed model analysis and design	17
Supervised Multivariate Learning with Simultaneous Feature Auto-Grouping and Dimension Reduction	17
Seconder of the vote of thanks to Rohe & Zeng and contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’	16
Empirical Likelihood-Based Inference for Functional Means with Application to Wearable Device Data	16
Kaizheng Wang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	16
Normalised latent measure factor models	15
Alexander Van Werde's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	15
Gaussian Prepivoting for Finite Population Causal Inference	14
David Huk, Lorenzo Pacchiardi, Ritabrata Dutta and Mark Steel's contribution to the Discussion of ‘Martingale posterior distributions’ by Fong, Holmes and Walker	14

High-dimensional Changepoint Estimation with Heterogeneous Missingness	14
David Draper and Erdong Guo's contribution to the discussion of ‘Martingale posterior distributions’, by Fong, Holmes and Walker	14
Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	14
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’	14
Robustness, model checking, and hierarchical models	13
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’	13
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’	11
Authors’ reply to the Discussion of ‘Safe testing’	11
Heather Battey’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	11
Bo Zhang’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	11
Joris Mulder’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	11
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	10
Jorge Mateu's contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	10
Holdout predictive checks for Bayesian model criticism	10
Integrative conformal p-values for out-of-distribution testing with labelled outliers	10
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values	10
Two-stage estimation and bias-corrected empirical likelihood in a partially linear single-index varying-coefficient model	10
Controlling the false discovery rate in transformational sparsity: Split Knockoffs	10
Thorsten Dickhaus’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	10
Thomas S. Richardson and James M. Robins’ contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	10
Marco Cattaneo's contribution to the Discussion of “Safe testing” by Grünwald, de Heide, and Koolen	10
Safe testing	9
Modelling matrix time series via a tensor CP-decomposition	9
Stefano Rizzelli’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	9
Joshua Bon and Christian P. Robert’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	9
Yudong Chen and Yining Chen’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	9
α-separability and adjustable combination of amplitude and phase model for functional data	9
Proposer of the vote of thanks to Grünwald, de Heide, and Koolen and contribution to the Discussion of ‘Safe testing’	9
Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation	9
Alignment and comparison of directed networks via transition couplings of random walks	8
Causal inference on distribution functions	8
Correlation adjusted debiased Lasso: debiasing the Lasso with inaccurate covariate model	8
Frequentist inference for semi-mechanistic epidemic models with interventions	8
Catch me if you can: signal localization with knockoff e-values	8
On Functional Processes with Multiple Discontinuities	7
Hien Nguyen’s contribution to the Discussion of “Estimating means of bounded random variables by betting” by Waudby-Smith and Ramdas	7
Covariate Powered Cross-Weighted Multiple Testing	7
Approximate Laplace Approximations for Scalable Model Selection	7
Analysis of Networks via the Sparseβ-model	7
Bayesian predictive decision synthesis	7
Gaussian Differential Privacy	7
Correction to: Optimal and Maximin Procedures for Multiple Testing Problems	6
Seconder of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’	6
Image response regression via deep neural networks	6
A model where the least trimmed squares estimator is maximum likelihood	6
The DeCAMFounder: nonlinear causal discovery in the presence of hidden variables	6
Gregor Steiner and Mark Steel’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	6
Strategic two-sample test via the two-armed bandit process	6
Manifold Markov Chain Monte Carlo Methods for Bayesian Inference in Diffusion Models	6
Ordering factorial experiments	6

Two-way dynamic factor models for high-dimensional matrix-valued time series	6
Simultaneous directional inference	6
Jiwei Zhao’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	5
Optimal Thinning of MCMC Output	5
Filippo Ascolani, Antonio Lijoi, and Igor Prünster’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	5
Priyantha Wijayatunga’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes, and Walker	5
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	5
Priyantha Wijayatunga’s Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	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
Xiaoyue Niu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	5
Isotonic Distributional Regression	5
Rong Jiang and Keming Yu's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	5
	5
Michael Lavine and James Hodges’ Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	5
Isadora Antoniano Villalobos's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	5
Correction to: Ordering factorial experiments	4
Wang and Leng (2016), High-Dimensional Ordinary Least-Squares Projection for Screening Variables, Journal of The Royal Statistical Society Series B, 78, 589–611	4
Functional Peaks-Over-Threshold Analysis	4
Peng Ding’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	4
Assumption-lean Inference for Generalised Linear Model Parameters	4
Another look at bandwidth-free inference: a sample splitting approach	4
Seconder of the Vote of thanks to Vansteelandt and Dukes and Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’	4
Proposer of the Vote of Thanks and Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	4
Konstantin Siroki and Korbinian Strimmer’s contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe and Zeng	4
Sparse Kronecker product decomposition: a general framework of signal region detection in image regression	4
Ian Hunt's Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	4
Issue Information	4
Anna Choi and Weng Kee Wong’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	4
Robust Generalised Bayesian Inference for Intractable Likelihoods	4
Causal Inference with Spatio-Temporal Data: Estimating the Effects of Airstrikes on Insurgent Violence in Iraq	3
Prior Sample Size Extensions for Assessing Prior Impact and Prior-Likelihood Discordance	3
A nested error regression model with high-dimensional parameter for small area estimation	3
Quasi-Newton updating for large-scale distributed learning	3
Conformal Inference of Counterfactuals and Individual Treatment Effects	3
Selective Inference for Effect Modification Via the Lasso	3
Model identification via total Frobenius norm of multivariate spectra	3
Correction to: Holdout predictive checks for Bayesian model criticism	3
Covariate adjustment in multiarmed, possibly factorial experiments	3
Statistical testing under distributional shifts	3
CovNet: Covariance Networks for Functional Data on Multidimensional Domains	3
Synthetic Controls with Staggered Adoption	3
An Approximation Algorithm for Blocking of an Experimental Design	3
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation	3
Jason Wyse, James Ng, Arthur White and Michael Fop's contribution to the Discussion of ‘Root and community inference on the latent growth process of a network' by Crane and Xu	3
Proposers of the vote of thanks to Crane and Xu and contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’	3
Joint Quantile Regression for Spatial Data	3
Usable and Precise Asymptotics for Generalized Linear Mixed Model Analysis and Design	3
Computationally efficient and data-adaptive changepoint inference in high dimension	3