OOIR: Observatory of International Research

Papers

(The TQCC of Biometrika is 6. 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 2021-06-01 to 2025-06-01.)

Article	Citations
Median regularity and honest inference	46
Nonparametric data segmentation in multivariate time series via joint characteristic functions	35
Data integration: exploiting ratios of parameter estimates from a reduced external model	26
Sparse functional linear discriminant analysis	26
Fréchet sufficient dimension reduction for random objects	25
Correction to: ‘Valid sequential inference on probability forecast performance’	22
Asymptotics of sample tail autocorrelations for tail-dependent time series: phase transition and visualization	21
More efficient exact group invariance testing: using a representative subgroup	19
Testing Kronecker product covariance matrices for high-dimensional matrix-variate data	19
High-dimensional linear regression via implicit regularization	19
Familial inference: tests for hypotheses on a family of centres	19
On the implied weights of linear regression for causal inference	18
On propensity score matching with a diverging number of matches	18
Spectral adjustment for spatial confounding	17
An approximate randomization test for the high-dimensional two-sample Behrens–Fisher problem under arbitrary covariances	17
On the fundamental limitations of multi-proposal Markov chain Monte Carlo algorithms	16
Particle filter efficiency under limited communication	16
Soft calibration for selection bias problems under mixed-effects models	16
Estimation of prediction error in time series	15
Valid sequential inference on probability forecast performance	15
Bootstrapping Whittle estimators	14
Partial separability and functional graphical models for multivariate Gaussian processes	13
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference	13
Statistical inference for streamed longitudinal data	13
Robust sample weighting to facilitate individualized treatment rule learning for a target population	12

Testing serial dependence or cross dependence for time series with underreporting	12
Optimal regimes for algorithm-assisted human decision-making	11
Regression of exchangeable relational arrays	11
Seeded binary segmentation: a general methodology for fast and optimal changepoint detection	10
Discussion of ‘Event history and topological data analysis’	10
Separable expansions for covariance estimation via the partial inner product	10
Network-adjusted covariates for community detection	10
A general condition for bias attenuation by a nondifferentially mismeasured confounder	10
Correction to: ‘Selective machine learning of doubly robust functionals’	10
Hug and hop: a discrete-time, nonreversible Markov chain Monte Carlo algorithm	9
Interpolating discriminant functions in high-dimensional Gaussian latent mixtures	9
Covariate adjustment in randomized experiments with missing outcomes and covariates	9
Explicit solutions for the asymptotically optimal bandwidth in cross-validation	9
Equivariant estimation of Fréchet means	9
Continuous Time Locally Stationary Wavelet Processes	9
On the relative efficiency of the intent-to-treat Wilcoxon–Mann–Whitney test in the presence of noncompliance	9
Likelihood-based inference under nonconvex boundary constraints	9
A proximal distance algorithm for likelihood-based sparse covariance estimation	9
Difference-based covariance matrix estimation in time series nonparametric regression with application to specification tests	9
On varimax asymptotics in network models and spectral methods for dimensionality reduction	8
An eigenvector-assisted estimation framework for signal-plus-noise matrix models	8
Covariate-adjusted log-rank test: guaranteed efficiency gain and universal applicability	8
Dependent censoring based on parametric copulas	8
Randomization Inference When N Equals One	7
Multi-scale Fisher’s independence test for multivariate dependence	7
A generalized Bayes framework for probabilistic clustering	7
Central limit theorems for local network statistics	7
Discussion of ‘Statistical inference for streamed longitudinal data’	7
Universal robust regression via maximum mean discrepancy	7
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	7
A rank-based sequential test of independence	6
Efficient Estimation for Functional Accelerated Failure Time Models	6
Powerful Partial Conjunction Hypothesis Testing via Conditioning	6
Asymptotic distribution-free changepoint detection for data with repeated observations	6
Populations of unlabelled networks: graph space geometry and generalized geodesic principal components	6
Discussion of ‘Statistical inference for streamed longitudinal data’	6
Selective machine learning of doubly robust functionals	6
Significance testing for canonical correlation analysis in high dimensions	6
Rejoinder: ‘Event history and topological data analysis’	6
Generalized infinite factorization models	6
High-dimensional semi-supervised learning: in search of optimal inference of the mean	6
Clustering consistency with Dirichlet process mixtures	6