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

Article	Citations
Median regularity and honest inference	60
Bounds on causal effects in 2???? factorial experiments with non-compliance	44
Goodness-of-fit tests for linear non-Gaussian structural equation models	38
Data integration: exploiting ratios of parameter estimates from a reduced external model	31
Fréchet sufficient dimension reduction for random objects	28
On propensity score matching with a diverging number of matches	26
Correction to: ‘Valid sequential inference on probability forecast performance’	26
Testing Kronecker product covariance matrices for high-dimensional matrix-variate data	25
On the implied weights of linear regression for causal inference	25
Familial inference: tests for hypotheses on a family of centres	23
Spectral adjustment for spatial confounding	22
High-dimensional linear regression via implicit regularization	21
An approximate randomization test for the high-dimensional two-sample Behrens–Fisher problem under arbitrary covariances	19
More efficient exact group invariance testing: using a representative subgroup	18
Particle filter efficiency under limited communication	17
Soft calibration for selection bias problems under mixed-effects models	17
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference	17
Bootstrapping Whittle estimators	16
Estimation of prediction error in time series	16
Uniform inference in linear mixed models	15
Characteristic function-based tests for spatial randomness	15
Testing serial dependence or cross dependence for time series with underreporting	14
Statistical inference for streamed longitudinal data	14
Fast convergence of the expectation-maximization algorithm under a logarithmic Sobolev inequality	14
Regression of exchangeable relational arrays	13

Separable expansions for covariance estimation via the partial inner product	13
Robust sample weighting to facilitate individualized treatment rule learning for a target population	12
Seeded binary segmentation: a general methodology for fast and optimal changepoint detection	12
Correction to: ‘Selective machine learning of doubly robust functionals’	12
Network-adjusted covariates for community detection	12
Explicit solutions for the asymptotically optimal bandwidth in cross-validation	12
Optimal regimes for algorithm-assisted human decision-making	12
Multicalibration for Modeling Censored Survival Data with Universal Adaptability	12
Interpolating discriminant functions in high-dimensional Gaussian latent mixtures	11
Hug and hop: a discrete-time, nonreversible Markov chain Monte Carlo algorithm	11
Difference-based covariance matrix estimation in time series nonparametric regression with application to specification tests	11
A generalized Bayes framework for probabilistic clustering	10
Likelihood-based inference under nonconvex boundary constraints	10
A proximal distance algorithm for likelihood-based sparse covariance estimation	10
An eigenvector-assisted estimation framework for signal-plus-noise matrix models	10
Covariate adjustment in randomized experiments with missing outcomes and covariates	9
Equivariant estimation of Fréchet means	9
Populations of unlabelled networks: graph space geometry and generalized geodesic principal components	9
On varimax asymptotics in network models and spectral methods for dimensionality reduction	9
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	9
Dependent censoring based on parametric copulas	9
Covariate-adjusted log-rank test: guaranteed efficiency gain and universal applicability	9
Discussion of ‘Statistical inference for streamed longitudinal data’	9
Generalized infinite factorization models	8
Central limit theorems for local network statistics	8
Clustering consistency with Dirichlet process mixtures	8
Multi-scale Fisher’s independence test for multivariate dependence	8
Universal robust regression via maximum mean discrepancy	8
Discussion of ‘Statistical inference for streamed longitudinal data’	8
A rank-based sequential test of independence	8
Selective machine learning of doubly robust functionals	7
Variable elimination, graph reduction and the efficient g-formula	7