OOIR: Observatory of International Research

Papers

(The TQCC of Journal of the Royal Statistical Society Series B-Statistical Methodol is 4. 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 2021-05-01 to 2025-05-01.)

Article	Citations
Mark Pilling's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	108
Strategic two-sample test via the two-armed bandit process	73
Image response regression via deep neural networks	58
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’	49
Seconder of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’	39
Catch me if you can: signal localization with knockoff e-values	38
Correlation adjusted debiased Lasso: debiasing the Lasso with inaccurate covariate model	38
Stefano Rizzelli’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	38
Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	34
On Functional Processes with Multiple Discontinuities	33
Safe testing	32
Yinqiu He, Yuqi Gu and Zhilian Ying's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	31
Issue Information	25
Corrected generalized cross-validation for finite ensembles of penalized estimators	25
Synthetic Controls with Staggered Adoption	25
Isadora Antoniano Villalobos's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	21
Computationally efficient and data-adaptive changepoint inference in high dimension	21
Proximal survival analysis to handle dependent right censoring	20
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis	20
Statistical testing under distributional shifts	20
Covariate adjustment in multiarmed, possibly factorial experiments	19
	18
Ramses Mena Chavez's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	18
Rungang Han and Anru R. Zhangs contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe & Zeng	18
Glenn Shafer’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	18

Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	18
Robust model averaging prediction of longitudinal response with ultrahigh-dimensional covariates	17
Conformal prediction with local weights: randomization enables robust guarantees	17
Conformalized survival analysis	16
Testing many constraints in possibly irregular models using incomplete U-statistics	16
Strong oracle guarantees for partial penalized tests of high-dimensional generalized linear models	16
Ying Zhou and Xinyi Zhang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	15
Proposer of the vote of thanks to Waudy-Smith and Ramdas and contribution to the Discussion of ‘Estimating means of bounded random variables by betting’	15
Estimating the efficiency gain of covariate-adjusted analyses in future clinical trials using external data	15
Randomisation inference beyond the sharp null: bounded null hypotheses and quantiles of individual treatment effects	14
Authors’ reply to the Discussion of ‘Automatic change-point detection in time series via deep learning’ at the Discussion Meeting on ‘Probabilistic and statistical aspects of machine learning’	14
Transfer Learning for High-Dimensional Linear Regression: Prediction, Estimation and Minimax Optimality	14
Pierre-Aurelien Gilliot, Christophe Andrieu, Anthony Lee, Song Liu, and Michael Whitehouse’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machi	14
Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses	14
Bayesian Context Trees: Modelling and Exact Inference for Discrete Time Series	13
Thomas S. Richardson’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	13
Graph Based Gaussian Processes on Restricted Domains	12
Engression: extrapolation through the lens of distributional regression	12
Hernando Ombao’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	12
Andrej Srakar’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	11
Correction to: Semi-supervised approaches to efficient evaluation of model prediction performance	11
Empirical Bayes PCA in High Dimensions	11
Bertrand Clarke's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	10
J. Goseling and M.N.M. van Lieshout's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	10
Estimating heterogeneous treatment effects with right-censored data via causal survival forests	10
Tyler J. VanderWeele's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	10
Cluster extent inference revisited: quantification and localisation of brain activity	10
Seconder of the Vote of Thanks to Donget al.and Contribution to the Discussion of ‘Gaussian Differential Privacy’	10
Ivor Cribben and Anastasiou Andreas’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	10
Broadcasted nonparametric tensor regression	10
Anthony C Davison and Igor Rodionov’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	9
Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding	9
A general framework for cutting feedback within modularized Bayesian inference	9
Scalable couplings for the random walk Metropolis algorithm	9
Authors’ Reply to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	9
Filippo Ascolani, Antonio Lijoi and Igor Prünster’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	9
Martin Larsson and Johannes Ruf’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	8
Kuldeep Kumar's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	8
Adaptive functional principal components analysis	8
Ryan Martin’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	8
Gradient synchronization for multivariate functional data, with application to brain connectivity	8
Issue Information	8
Universal Prediction Band via Semi-Definite Programming	8
Efficient Manifold Approximation with Spherelets	8
Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data Analysis	8
Oliver Hines and Karla Diaz-Ordazʼs Contribution to the Discussion of ‘Assumption-Lean Inference For Generalised Linear Model Parameters’ by Vansteelandt and Dukes	8
On the instrumental variable estimation with many weak and invalid instruments	7
Erratum: Usable and precise asymptotics for generalized linear mixed model analysis and design	7
Kuldeep Kumar’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	7
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	7

Zihao Wen and David L. Dowe’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	7
Two-Sample Inference for High-Dimensional Markov Networks	7
Issue Information	7
Yudong Chen and Yining Chen’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	7
α-separability and adjustable combination of amplitude and phase model for functional data	7
Autoregressive optimal transport models	7
Normalised latent measure factor models	7
Seconder of the vote of thanks to Rohe & Zeng and contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’	7
Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation	7
Peter Krusche and Frank Bretz's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	7
Convexity and measures of statistical association	6
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’	6
Ordering factorial experiments	6
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation	6
Thorsten Dickhaus’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	6
Analysis of Networks via the Sparseβ-model	6
Sparse Kronecker product decomposition: a general framework of signal region detection in image regression	6
Correction to: Ordering factorial experiments	5
Priyantha Wijayatunga’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes, and Walker	5
Graphical methods for Order-of-Addition experiments	5
Derandomised knockoffs: leveraging e-values for false discovery rate control	5
Correction to: Holdout predictive checks for Bayesian model criticism	5
CovNet: Covariance Networks for Functional Data on Multidimensional Domains	5
Estimating means of bounded random variables by betting	5
Ensemble methods for testing a global null	5
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’	5
Andrej Srakar’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	5
Multi-resolution subsampling for linear classification with massive data	5
Peng Ding’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	5
Inference of Heterogeneous Treatment Effects using Observational Data with High-Dimensional Covariates	4
Stratification pattern enumerator and its applications	4
Jiaqi Gu and Guosheng Yin’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	4
Contents of Volume 84, 2022	4
Testing homogeneity: the trouble with sparse functional data	4
Optimal Statistical Inference for Individualized Treatment Effects in High-Dimensional Models	4
Randomized empirical likelihood test for ultra-high dimensional means under general covariances	4
Shakeel Gavioli-Akilagun’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	4
Interpretable discriminant analysis for functional data supported on random nonlinear domains with an application to Alzheimer’s disease	4
Yunxiao Chen and Gongjun Xu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	4
Semi-parametric tensor factor analysis by iteratively projected singular value decomposition	4
Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC	4