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 2021-11-01 to 2025-11-01.)

Article	Citations
Mark Pilling's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	147
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’	107
Seconder of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’	70
Catch me if you can: signal localization with knockoff e-values	58
Stefano Rizzelli’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	54
Correlation adjusted debiased Lasso: debiasing the Lasso with inaccurate covariate model	49
On Functional Processes with Multiple Discontinuities	46
Image response regression via deep neural networks	45
Strategic two-sample test via the two-armed bandit process	41
Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	41
Yinqiu He, Yuqi Gu and Zhilian Ying's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	33
Safe testing	33
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	30
Proximal survival analysis to handle dependent right censoring	30
Computationally efficient and data-adaptive changepoint inference in high dimension	27
SymmPI: predictive inference for data with group symmetries	27
Isadora Antoniano Villalobos's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	26
Corrected generalized cross-validation for finite ensembles of penalized estimators	26
Covariate adjustment in multiarmed, possibly factorial experiments	25
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis	24
Statistical testing under distributional shifts	23
Synthetic Controls with Staggered Adoption	23
Glenn Shafer’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	23
	23
Ramses Mena Chavez's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	22

Ying Zhou and Xinyi Zhang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	22
Rungang Han and Anru R. Zhangs contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe & Zeng	21
Strong oracle guarantees for partial penalized tests of high-dimensional generalized linear models	20
Bootstrapping estimators based on the block maxima method	20
Estimating the efficiency gain of covariate-adjusted analyses in future clinical trials using external data	19
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
A unified generalization of the inverse regression methods via column selection	16
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	16
Testing many constraints in possibly irregular models using incomplete U-statistics	16
Robust model averaging prediction of longitudinal response with ultrahigh-dimensional covariates	16
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’	16
Randomisation inference beyond the sharp null: bounded null hypotheses and quantiles of individual treatment effects	15
Conformal prediction with local weights: randomization enables robust guarantees	15
Conformalized survival analysis	15
Thomas S. Richardson’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	14
Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses	14
Transfer Learning for High-Dimensional Linear Regression: Prediction, Estimation and Minimax Optimality	14
Hernando Ombao’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	13
Correction to: Semi-supervised approaches to efficient evaluation of model prediction performance	13
Orthogonalized moment aberration for mixed-level multi-stratum factorial designs with partially-relaxed orthogonal block structures	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
Graph Based Gaussian Processes on Restricted Domains	12
Cluster extent inference revisited: quantification and localisation of brain activity	12
Spectral change point estimation for high-dimensional time series by sparse tensor decomposition	12
Engression: extrapolation through the lens of distributional regression	12
Bayesian Context Trees: Modelling and Exact Inference for Discrete Time Series	12
Broadcasted nonparametric tensor regression	12
Seconder of the Vote of Thanks to Donget al.and Contribution to the Discussion of ‘Gaussian Differential Privacy’	11
Empirical Bayes PCA in High Dimensions	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
J. Goseling and M.N.M. van Lieshout's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	10
Tyler J. VanderWeele's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	10
Authors’ Reply to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	9
Ivor Cribben and Anastasiou Andreas’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	9
Efficient Manifold Approximation with Spherelets	9
Kuldeep Kumar's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	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
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
Scalable couplings for the random walk Metropolis algorithm	9
A general framework for cutting feedback within modularized Bayesian inference	9
Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding	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
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
Root cause discovery via permutations and Cholesky decomposition	8
Issue Information	8
On the instrumental variable estimation with many weak and invalid instruments	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
Adaptive functional principal components analysis	7
Goodness-of-fit tests for high-dimensional Gaussian graphical models via exchangeable sampling	7
Erratum: Usable and precise asymptotics for generalized linear mixed model analysis and design	7
Thorsten Dickhaus’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	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’	7
Universal Prediction Band via Semi-Definite Programming	7
Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data Analysis	7
Autoregressive optimal transport models	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
Seconder of the vote of thanks to Rohe & Zeng and contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’	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
Semiparametric localized principal stratification analysis with continuous strata	6
Normalised latent measure factor models	6
Andrej Srakar’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	6
Ordering factorial experiments	6
α-separability and adjustable combination of amplitude and phase model for functional data	6
Priyantha Wijayatunga’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes, and Walker	6
Correction to: Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	6
Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation	6
Correction to: Ordering factorial experiments	6
Convexity and measures of statistical association	6
Multi-resolution subsampling for linear classification with massive data	5
Semi-parametric tensor factor analysis by iteratively projected singular value decomposition	5
Peng Ding’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	5
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation	5
Graphical methods for Order-of-Addition experiments	5
Correction to: Holdout predictive checks for Bayesian model criticism	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
CovNet: Covariance Networks for Functional Data on Multidimensional Domains	5
Testing homogeneity: the trouble with sparse functional data	4
Interpretable discriminant analysis for functional data supported on random nonlinear domains with an application to Alzheimer’s disease	4
Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC	4
Derandomised knockoffs: leveraging e-values for false discovery rate control	4
Stratification pattern enumerator and its applications	4
Policy evaluation for temporal and/or spatial dependent experiments	4
Martin Larsson, Aaditya Ramdas, and Johannes Ruf’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	4
Martingale posterior distributions	4
Yang Liu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	4
Randomized empirical likelihood test for ultra-high dimensional means under general covariances	4
Contents of Volume 84, 2022	4
Shakeel Gavioli-Akilagun’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	4
Sparse Kronecker product decomposition: a general framework of signal region detection in image regression	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
A fast asynchronous Markov chain Monte Carlo sampler for sparse Bayesian inference	4
Non-parametric inference about mean functionals of non-ignorable non-response data without identifying the joint distribution	4
The Sceptical Bayes Factor for the Assessment of Replication Success	4
Debiased inference for a covariate-adjusted regression function	4
Yunxiao Chen and Gongjun Xu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	4
Estimating means of bounded random variables by betting	4
Jiaqi Gu and Guosheng Yin’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	4
Steven R Howard's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	4
Spherical random projection	4
Testing high-dimensional multinomials with applications to text analysis	4
Dimension-Free Mixing for High-Dimensional Bayesian Variable Selection	4