OOIR: Observatory of International Research

Papers

(The TQCC of Biometrika is 7. 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 2022-05-01 to 2026-05-01.)

Article	Citations
Median regularity and honest inference	55
Goodness-of-fit tests for linear non-Gaussian structural equation models	46
Acknowledgements	38
Correction to: ‘Valid sequential inference on probability forecast performance’	35
Bounds on causal effects in $ 2^{K} $ factorial experiments with noncompliance	35
Familial inference: tests for hypotheses on a family of centres	30
On the implied weights of linear regression for causal inference	29
Comparing causal parameters with many treatments and positivity violations	26
More efficient exact group invariance testing: using a representative subgroup	26
On propensity score matching with a diverging number of matches	23
Testing Kronecker product covariance matrices for high-dimensional matrix-variate data	23
Spectral adjustment for spatial confounding	21
Estimation of prediction error in time series	21
Soft calibration for selection bias problems under mixed-effects models	20
Bootstrapping Whittle estimators	20
Fast convergence of the expectation-maximization algorithm under a logarithmic Sobolev inequality	18
Uniform inference in linear mixed models	16
Testing serial dependence or cross dependence for time series with underreporting	15
Statistical inference for streamed longitudinal data	15
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference	15
Characteristic-function-based tests for spatial randomness	15
Seeded binary segmentation: a general methodology for fast and optimal changepoint detection	14
Testing for latent structure via the Wilcoxon--Wigner random matrix of normalized rank statistics	14
Network-adjusted covariates for community detection	14
Robust sample weighting to facilitate individualized treatment rule learning for a target population	14

Separable expansions for covariance estimation via the partial inner product	14
Explicit solutions for the asymptotically optimal bandwidth in cross-validation	13
Correction to: ‘Selective machine learning of doubly robust functionals’	13
Optimal regimes for algorithm-assisted human decision-making	13
Hug and hop: a discrete-time, nonreversible Markov chain Monte Carlo algorithm	13
Multicalibration for modelling censored survival data with universal adaptability	12
Generalized Fréchet means with random minimizing domains and its strong consistency	12
An eigenvector-assisted estimation framework for signal-plus-noise matrix models	11
Covariate adjustment in randomized experiments with missing outcomes and covariates	11
Interpolating discriminant functions in high-dimensional Gaussian latent mixtures	11
Equivariant estimation of Fréchet means	11
Difference-based covariance matrix estimation in time series nonparametric regression with application to specification tests	11
On varimax asymptotics in network models and spectral methods for dimensionality reduction	10
Dynamic clustering for heterophilic stochastic block models with time-varying node memberships	10
Likelihood-based inference under nonconvex boundary constraints	10
A generalized Bayes framework for probabilistic clustering	10
Covariate-adjusted log-rank test: guaranteed efficiency gain and universal applicability	9
Conditioning on posterior samples for flexible frequentist goodness-of-fit testing	9
Dependent censoring based on parametric copulas	9
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	9
Universal robust regression via maximum mean discrepancy	8
Central limit theorems for local network statistics	8
Populations of unlabelled networks: graph space geometry and generalized geodesic principal components	8
Discussion of ‘Statistical inference for streamed longitudinal data’	8
Treatment choice with nonlinear regret	8
Finding Distributions that Differ, with False Discovery Rate Control	8
Lasso-adjusted treatment effect estimation under covariate-adaptive randomization	7
Clustering consistency with Dirichlet process mixtures	7
Characterizing extremal dependence on a hyperplane	7
Sequential Gibbs Posteriors with Applications to Principal Component Analysis	7
Selective machine learning of doubly robust functionals	7
A rank-based sequential test of independence	7
Functional linear regression for discretely observed data: from ideal to reality	7
Discussion of ‘Statistical inference for streamed longitudinal data’	7
Variable elimination, graph reduction and the efficient g-formula	7