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 2022-06-01 to 2026-06-01.)

Article	Citations
Median regularity and honest inference	55
Goodness-of-fit tests for linear non-Gaussian structural equation models	50
Acknowledgements	41
Bounds on causal effects in $ 2^{K} $ factorial experiments with noncompliance	39
Correction to: ‘Valid sequential inference on probability forecast performance’	36
Familial inference: tests for hypotheses on a family of centres	31
On the implied weights of linear regression for causal inference	29
Spectral adjustment for spatial confounding	29
More efficient exact group invariance testing: using a representative subgroup	26
Testing Kronecker product covariance matrices for high-dimensional matrix-variate data	24
Comparing causal parameters with many treatments and positivity violations	24
On propensity score matching with a diverging number of matches	23
Estimation of prediction error in time series	21
Soft calibration for selection bias problems under mixed-effects models	21
Bootstrapping Whittle estimators	20
Fast convergence of the expectation-maximization algorithm under a logarithmic Sobolev inequality	19
Characteristic-function-based tests for spatial randomness	17
Uniform inference in linear mixed models	17
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference	16
Statistical inference for streamed longitudinal data	16
Robust sample weighting to facilitate individualized treatment rule learning for a target population	15
Testing serial dependence or cross dependence for time series with underreporting	15
Separable expansions for covariance estimation via the partial inner product	15
Network-adjusted covariates for community detection	14
Seeded binary segmentation: a general methodology for fast and optimal changepoint detection	14

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