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 2021-04-01 to 2025-04-01.)

Article	Citations
Valid and Approximately Valid Confidence Intervals for Current Status Data	105
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values	71
	56
Issue Information	48
Erratum: Anchor Regression: Heterogeneous Data Meet Causality	37
Kuldeep Kumar’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	37
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	36
Erratum: Optimal Control of False Discovery Criteria in the Two-Group Model	34
Peter Krusche and Frank Bretz's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	32
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	25
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	21
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	19
Erratum: Usable and precise asymptotics for generalized linear mixed model analysis and design	18
Supervised Multivariate Learning with Simultaneous Feature Auto-Grouping and Dimension Reduction	18
Kaizheng Wang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	17
Normalised latent measure factor models	17
Empirical Likelihood-Based Inference for Functional Means with Application to Wearable Device Data	17
Seconder of the vote of thanks to Rohe & Zeng and contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’	17
David Huk, Lorenzo Pacchiardi, Ritabrata Dutta and Mark Steel's contribution to the Discussion of ‘Martingale posterior distributions’ by Fong, Holmes and Walker	16
Alexander Van Werde's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	16
David Draper and Erdong Guo's contribution to the discussion of ‘Martingale posterior distributions’, by Fong, Holmes and Walker	16

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’	15
High-dimensional Changepoint Estimation with Heterogeneous Missingness	15
Joris Mulder’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	14
Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	14
Robustness, model checking, and hierarchical models	14
Gaussian Prepivoting for Finite Population Causal Inference	14
Heather Battey’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	14
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’	14
Two-stage estimation and bias-corrected empirical likelihood in a partially linear single-index varying-coefficient model	13
Bo Zhang’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	13
Authors’ reply to the Discussion of ‘Safe testing’	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’	13
Jorge Mateu's contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	12
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	12
Thomas S. Richardson and James M. Robins’ contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	11
Holdout predictive checks for Bayesian model criticism	11
Thorsten Dickhaus’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	11
Integrative conformal p-values for out-of-distribution testing with labelled outliers	11
Yudong Chen and Yining Chen’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	10
α-separability and adjustable combination of amplitude and phase model for functional data	10
Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation	10
Proposer of the vote of thanks to Grünwald, de Heide, and Koolen and contribution to the Discussion of ‘Safe testing’	10
Marco Cattaneo's contribution to the Discussion of “Safe testing” by Grünwald, de Heide, and Koolen	10
Controlling the false discovery rate in transformational sparsity: Split Knockoffs	10
Stefano Rizzelli’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	10
Causal inference on distribution functions	9
Correlation adjusted debiased Lasso: debiasing the Lasso with inaccurate covariate model	9
Joshua Bon and Christian P. Robert’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	9
Frequentist inference for semi-mechanistic epidemic models with interventions	9
Catch me if you can: signal localization with knockoff e-values	9
On Functional Processes with Multiple Discontinuities	9
Alignment and comparison of directed networks via transition couplings of random walks	9
Simultaneous directional inference	8
Strategic two-sample test via the two-armed bandit process	8
Hien Nguyen’s contribution to the Discussion of “Estimating means of bounded random variables by betting” by Waudby-Smith and Ramdas	8
Covariate Powered Cross-Weighted Multiple Testing	8
Analysis of Networks via the Sparseβ-model	8
Image response regression via deep neural networks	8
Seconder of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’	7
A model where the least trimmed squares estimator is maximum likelihood	7
Approximate Laplace Approximations for Scalable Model Selection	7
Isotonic Distributional Regression	7
The DeCAMFounder: nonlinear causal discovery in the presence of hidden variables	7
Manifold Markov Chain Monte Carlo Methods for Bayesian Inference in Diffusion Models	7
Two-way dynamic factor models for high-dimensional matrix-valued time series	7
Gregor Steiner and Mark Steel’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	7
Correction to: Optimal and Maximin Procedures for Multiple Testing Problems	7
Modelling matrix time series via a tensor CP-decomposition	7
Designing to detect heteroscedasticity in a regression model	7
Bayesian predictive decision synthesis	6

Ordering factorial experiments	6
Michael Lavine and James Hodges’ Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	6
Safe testing	6
Yinqiu He, Yuqi Gu and Zhilian Ying's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	6
Gaussian Differential Privacy	6
Xiaoyue Niu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	6
Wang and Leng (2016), High-Dimensional Ordinary Least-Squares Projection for Screening Variables, Journal of The Royal Statistical Society Series B, 78, 589–611	5
Functional Peaks-Over-Threshold Analysis	5
Isadora Antoniano Villalobos's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	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
Seconder of the Vote of thanks to Vansteelandt and Dukes and Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’	5
Proposer of the Vote of Thanks and Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	5
Optimal Thinning of MCMC Output	5
	5
Priyantha Wijayatunga’s Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	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
Issue Information	5
Jiwei Zhao’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	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
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
Correction to: Ordering factorial experiments	4
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation	4
An Approximation Algorithm for Blocking of an Experimental Design	4
Ian Hunt's Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	4
Elastic integrative analysis of randomised trial and real-world data for treatment heterogeneity estimation	4
Model identification via total Frobenius norm of multivariate spectra	4
Causal Inference with Spatio-Temporal Data: Estimating the Effects of Airstrikes on Insurgent Violence in Iraq	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
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
Correction to: Holdout predictive checks for Bayesian model criticism	4
Prior Sample Size Extensions for Assessing Prior Impact and Prior-Likelihood Discordance	4
A nested error regression model with high-dimensional parameter for small area estimation	3
Usable and Precise Asymptotics for Generalized Linear Mixed Model Analysis and Design	3
Vladimir Vovk's contribution to the Discussion of “Estimating means of bounded random variables by betting” by Waudby-Smith and Ramdas	3
Synthetic Controls with Staggered Adoption	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
Selective Inference for Effect Modification Via the Lasso	3
Statistical testing under distributional shifts	3
Computationally efficient and data-adaptive changepoint inference in high dimension	3
Semi-parametric tensor factor analysis by iteratively projected singular value decomposition	3
Quasi-Newton updating for large-scale distributed learning	3
CovNet: Covariance Networks for Functional Data on Multidimensional Domains	3
Full-model estimation for non-parametric multivariate finite mixture models	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
Another look at bandwidth-free inference: a sample splitting approach	3