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 2022-08-01 to 2026-08-01.)

Article	Citations
Mark Pilling's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	87
Seconder of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’	69
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’	69
Stefano Rizzelli’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	46
Strategic two-sample test via the two-armed bandit process	41
Correlation adjusted debiased Lasso: debiasing the Lasso with inaccurate covariate model	40
Skew-symmetric approximations of posterior distributions	36
Safaa K. Kadhem’s contribution to the Discussion on ‘Statistical exploration of the manifold hypothesis’ by Nick Whiteley, Annie Grayb, and Patrick Rubin-Delanchy	35
Catch me if you can: signal localization with knockoff e-values	33
Zihao Wen and David L. Dowe’s contribution to the Discussion of ‘Statistical exploration of the manifold hypothesis’ by Whiteley et al.	33
Statistical inference for Gaussian Whittle–Matérn fields on metric graphs	33
Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	30
Image response regression via deep neural networks	27
Yinqiu He, Yuqi Gu and Zhilian Ying's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	23
Safe testing	23
Isadora Antoniano Villalobos's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	22
Proposer of the vote of thanks to Whiteley et al. and contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’	22
Using a two-parameter sensitivity analysis framework to efficiently combine randomized and nonrandomized studies	21
Scalability of Metropolis-within-Gibbs schemes for high-dimensional Bayesian models	20
Covariate adjustment in multiarmed, possibly factorial experiments	19
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	19
SymmPI: predictive inference for data with group symmetries	19
Oracle arrays and their use for constructing space-filling designs	18
Anytime validity is free: inducing sequential tests	17
Statistical testing under distributional shifts	17

Mei Dong, Linbo Wang, Lin Liu, and Oliver Dukes's contribution to the Discussion of ‘Regression by composition’ by Farewell et al	17
Pitman efficiency lower bounds for multivariate distribution-free tests based on optimal transport	16
Proximal survival analysis to handle dependent right censoring	16
Computationally efficient and data-adaptive changepoint inference in high dimension	16
Corrected generalized cross-validation for finite ensembles of penalized estimators	15
	14
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis	14
Ying Zhou and Xinyi Zhang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	13
Rungang Han and Anru R. Zhangs contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe & Zeng	13
Glenn Shafer’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	13
A unified generalization of the inverse regression methods via column selection	13
Ramses Mena Chavez's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	13
Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses	13
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	12
Maozai Tian, Shuo Liu, and Tan Meng’s contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al.	12
I-Chen Lee and Weng-Kee Wong’s contribution to the Discussion of ‘Regression by composition’ by Farewell et al	12
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’	12
Heather Battey’s invited contribution to the discussion of ‘Regression by composition’ by Farewell et al	12
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’	12
Strong oracle guarantees for partial penalized tests of high-dimensional generalized linear models	12
López de Prado and Porcu’s contribution to the Discussion of ‘Regression by compositio’ by Farewell et al	12
Estimating the efficiency gain of covariate-adjusted analyses in future clinical trials using external data	11
Cluster extent inference revisited: quantification and localisation of brain activity	11
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
Testing many constraints in possibly irregular models using incomplete U-statistics	11
Bootstrapping estimators based on the block maxima method	11
Conformalized survival analysis	11
Robust model averaging prediction of longitudinal response with ultrahigh-dimensional covariates	11
Randomisation inference beyond the sharp null: bounded null hypotheses and quantiles of individual treatment effects	11
Conformal prediction with local weights: randomization enables robust guarantees	11
Hernando Ombao’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	11
Correction to: Semi-supervised approaches to efficient evaluation of model prediction performance	10
Orthogonalized moment aberration for mixed-level multi-stratum factorial designs with partially-relaxed orthogonal block structures	10
Spectral change point estimation for high-dimensional time series by sparse tensor decomposition	10
Broadcasted nonparametric tensor regression	10
Safaa K Kadhem's contribution to the Discussion of ‘Regression by composition’ by Farewell et al	10
Estimating heterogeneous treatment effects with right-censored data via causal survival forests	10
Seconder of the vote of thanks to Bruns-Smith et al. and contribution to the Discussion of ‘Augmented balancing weights as linear regression’	10
Bertrand Clarke's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	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
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
Engression: extrapolation through the lens of distributional regression	9
Ivor Cribben and Anastasiou Andreas’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	9
Penalized empirical likelihood over decentralized networks	8
The synthetic instrument: from sparse association to sparse causation	8
Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding	8
Simon et al.’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	8
Gradient synchronization for multivariate functional data, with application to brain connectivity	8

Gesine Reinert’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.	8
A general framework for cutting feedback within modularized Bayesian inference	8
Root cause discovery via permutations and Cholesky decomposition	7
Martin Larsson and Johannes Ruf’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	7
Sequential model confidence sets	7
Tyler J. VanderWeele's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	7
Ryan Martin’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	7
Goodness-of-fit tests for high-dimensional Gaussian graphical models via exchangeable sampling	7
Arun Chind’s contribution to the discussion of ‘Regression by composition’ by Farewell et al	7
Safaa K. Kadhem’s contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al.	7
Universal Prediction Band via Semi-Definite Programming	7
Least squares for cardinal paired comparisons data	7
Zihao Wen and David L. Dowe’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	7
Autoregressive optimal transport models	6
Erratum: Usable and precise asymptotics for generalized linear mixed model analysis and design	6
Yudong Chen and Yining Chen’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	6
Correction to: Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	6
Convexity and measures of statistical association	6
Principal stratification with U-statistics under principal ignorability	6
On the instrumental variable estimation with many weak and invalid instruments	6
Seconder of the vote of thanks to Rohe & Zeng and contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’	6
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	6
Model privacy: a unified framework for understanding model stealing attacks and defences	6
Ordering factorial experiments	6
Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data Analysis	6
Adaptive functional principal components analysis	6
Thorsten Dickhaus’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	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
α-separability and adjustable combination of amplitude and phase model for functional data	6
Post-detection inference for sequential changepoint localization	6
Andrej Srakar’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	5
Correction to: Holdout predictive checks for Bayesian model criticism	5
Derandomised knockoffs: leveraging e-values for false discovery rate control	5
Correction to: Ordering factorial experiments	5
Multi-task learning for sparsity pattern heterogeneity: statistical and computational perspectives	5
Inference with Mondrian random forests	5
Autoregressive networks with dependent edges	5
Priyantha Wijayatunga’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes, and Walker	5
Normalised latent measure factor models	5
Semiparametric localized principal stratification analysis with continuous strata	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
Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation	5
Multi-resolution subsampling for linear classification with massive data	4
Semi-parametric tensor factor analysis by iteratively projected singular value decomposition	4
Graphical methods for Order-of-Addition experiments	4
Yunxiao Chen and Gongjun Xu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	4
Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC	4
Vern T Farewell’s contribution to the Discussion of ‘Regression by composition’ by Farewell et al	4
Ensemble methods for testing a global null	4
Si-Yang Li, David van Dyk and Maximilian Autenreith's contribution to the Discussion of ‘Regression by composition’ by Farewell et al	4
Combining evidence across filtrations	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
Randomized empirical likelihood test for ultra-high dimensional means under general covariances	4
Archer Gong Zhang's contribution to the Discussion of ‘Regression by composition’ by Farewell et al	4
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation	4
Sparse Kronecker product decomposition: a general framework of signal region detection in image regression	4
Estimating means of bounded random variables by betting	4
Contents of Volume 84, 2022	4
Stratification pattern enumerator and its applications	4
Scalable Bayesian inference for heat kernel Gaussian processes on manifolds	4
Jiaqi Gu and Guosheng Yin’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	4