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 2021-09-01 to 2025-09-01.)

Article	Citations
Mark Pilling's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	133
Strategic two-sample test via the two-armed bandit process	90
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’	63
Seconder of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’	58
Catch me if you can: signal localization with knockoff e-values	53
Stefano Rizzelli’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	46
Correlation adjusted debiased Lasso: debiasing the Lasso with inaccurate covariate model	43
On Functional Processes with Multiple Discontinuities	42
Image response regression via deep neural networks	38
Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	36
Yinqiu He, Yuqi Gu and Zhilian Ying's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	32
Safe testing	32
Issue Information	30
Covariate adjustment in multiarmed, possibly factorial experiments	29
Isadora Antoniano Villalobos's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	27
Corrected generalized cross-validation for finite ensembles of penalized estimators	27
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis	27
Statistical testing under distributional shifts	24
Proximal survival analysis to handle dependent right censoring	23
Synthetic Controls with Staggered Adoption	23
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	23
	22
Computationally efficient and data-adaptive changepoint inference in high dimension	22
Ramses Mena Chavez's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	22
SymmPI: predictive inference for data with group symmetries	22

Randomisation inference beyond the sharp null: bounded null hypotheses and quantiles of individual treatment effects	21
Glenn Shafer’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	21
Ying Zhou and Xinyi Zhang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	21
Estimating the efficiency gain of covariate-adjusted analyses in future clinical trials using external data	20
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’	18
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	17
Conformal prediction with local weights: randomization enables robust guarantees	17
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’	17
Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses	16
Strong oracle guarantees for partial penalized tests of high-dimensional generalized linear models	15
Transfer Learning for High-Dimensional Linear Regression: Prediction, Estimation and Minimax Optimality	15
A unified generalization of the inverse regression methods via column selection	15
Rungang Han and Anru R. Zhangs contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe & Zeng	15
Conformalized survival analysis	14
Robust model averaging prediction of longitudinal response with ultrahigh-dimensional covariates	13
Testing many constraints in possibly irregular models using incomplete U-statistics	13
Thomas S. Richardson’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	13
Broadcasted nonparametric tensor regression	12
Empirical Bayes PCA in High Dimensions	12
Cluster extent inference revisited: quantification and localisation of brain activity	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	12
Correction to: Semi-supervised approaches to efficient evaluation of model prediction performance	12
Hernando Ombao’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	12
Engression: extrapolation through the lens of distributional regression	11
Seconder of the Vote of Thanks to Donget al.and Contribution to the Discussion of ‘Gaussian Differential Privacy’	11
Bayesian Context Trees: Modelling and Exact Inference for Discrete Time Series	11
J. Goseling and M.N.M. van Lieshout's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	11
Graph Based Gaussian Processes on Restricted Domains	11
Orthogonalized moment aberration for mixed-level multi-stratum factorial designs with partially-relaxed orthogonal block structures	11
Estimating heterogeneous treatment effects with right-censored data via causal survival forests	11
Bertrand Clarke's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	10
Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding	10
Tyler J. VanderWeele's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	10
Ivor Cribben and Anastasiou Andreas’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	10
A general framework for cutting feedback within modularized Bayesian inference	9
Scalable couplings for the random walk Metropolis algorithm	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
Kuldeep Kumar's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	9
Gradient synchronization for multivariate functional data, with application to brain connectivity	9
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
Efficient Manifold Approximation with Spherelets	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	9
Authors’ Reply to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	9
Universal Prediction Band via Semi-Definite Programming	8
Ryan Martin’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	8
Issue Information	8
On the instrumental variable estimation with many weak and invalid instruments	7
Oliver Hines and Karla Diaz-Ordazʼs Contribution to the Discussion of ‘Assumption-Lean Inference For Generalised Linear Model Parameters’ by Vansteelandt and Dukes	7
Least squares for cardinal paired comparisons data	7
Issue Information	7

Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation	7
Adaptive functional principal components analysis	7
Two-Sample Inference for High-Dimensional Markov Networks	7
Goodness-of-fit tests for high-dimensional Gaussian graphical models via exchangeable sampling	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
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
Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data Analysis	7
Autoregressive optimal transport models	7
Erratum: Usable and precise asymptotics for generalized linear mixed model analysis and design	7
Yudong Chen and Yining Chen’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	7
Normalised latent measure factor models	7
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
Semiparametric localized principal stratification analysis with continuous strata	6
Analysis of Networks via the Sparseβ-model	6
Convexity and measures of statistical association	6
Ordering factorial experiments	6
Thorsten Dickhaus’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	6
α-separability and adjustable combination of amplitude and phase model for functional data	6
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’	6
Priyantha Wijayatunga’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes, and Walker	5
Correction to: Ordering factorial experiments	5
Derandomised knockoffs: leveraging e-values for false discovery rate control	5
Multi-resolution subsampling for linear classification with massive data	5
CovNet: Covariance Networks for Functional Data on Multidimensional Domains	5
Sparse Kronecker product decomposition: a general framework of signal region detection in image regression	5
Peng Ding’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	5
Andrej Srakar’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	5
Graphical methods for Order-of-Addition experiments	5
Ensemble methods for testing a global null	5
Debiased inference for a covariate-adjusted regression function	4
Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC	4
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation	4
Jiaqi Gu and Guosheng Yin’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	4
Testing homogeneity: the trouble with sparse functional data	4
Yang Liu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	4
A fast asynchronous Markov chain Monte Carlo sampler for sparse Bayesian inference	4
Yunxiao Chen and Gongjun Xu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	4
Shakeel Gavioli-Akilagun’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	4
Semi-parametric tensor factor analysis by iteratively projected singular value decomposition	4
Interpretable discriminant analysis for functional data supported on random nonlinear domains with an application to Alzheimer’s disease	4
Stratification pattern enumerator and its applications	4
Niwen Zhou and Xu Guo’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	4
Spherical random projection	4
Contents of Volume 84, 2022	4
Estimating means of bounded random variables by betting	4
Correction to: Holdout predictive checks for Bayesian model criticism	4
Randomized empirical likelihood test for ultra-high dimensional means under general covariances	4
Inference of Heterogeneous Treatment Effects using Observational Data with High-Dimensional Covariates	4
Steven R Howard's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	4