OOIR: Observatory of International Research

Papers

(The TQCC of Biometrika is 5. 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 2021-05-01 to 2025-05-01.)

Article	Citations
Median regularity and honest inference	46
An Omitted Variable Bias Framework for Sensitivity Analysis of Instrumental Variables	34
Fréchet sufficient dimension reduction for random objects	25
Data integration: exploiting ratios of parameter estimates from a reduced external model	24
Nonparametric data segmentation in multivariate time series via joint characteristic functions	24
Sparse functional linear discriminant analysis	22
Correction to: ‘Valid sequential inference on probability forecast performance’	21
Familial inference: tests for hypotheses on a family of centres	19
Testing Kronecker product covariance matrices for high-dimensional matrix-variate data	19
An approximate randomization test for the high-dimensional two-sample Behrens–Fisher problem under arbitrary covariances	18
High-dimensional linear regression via implicit regularization	18
More efficient exact group invariance testing: using a representative subgroup	17
Spectral adjustment for spatial confounding	16
Asymptotics of sample tail autocorrelations for tail-dependent time series: phase transition and visualization	16
On propensity score matching with a diverging number of matches	16
On the implied weights of linear regression for causal inference	16
On the fundamental limitations of multi-proposal Markov chain Monte Carlo algorithms	15
Particle filter efficiency under limited communication	15
Statistical inference for streamed longitudinal data	15
Soft calibration for selection bias problems under mixed-effects models	15
Valid sequential inference on probability forecast performance	13
Estimation of prediction error in time series	12
Noise-Induced Randomization in Regression Discontinuity Designs	12
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference	12
Bootstrapping Whittle estimators	12

Partial separability and functional graphical models for multivariate Gaussian processes	11
Testing serial dependence or cross dependence for time series with underreporting	10
Robust sample weighting to facilitate individualized treatment rule learning for a target population	10
Regression of exchangeable relational arrays	10
Network-adjusted covariates for community detection	9
Optimal regimes for algorithm-assisted human decision-making	9
A general condition for bias attenuation by a nondifferentially mismeasured confounder	9
Separable expansions for covariance estimation via the partial inner product	9
Seeded binary segmentation: a general methodology for fast and optimal changepoint detection	8
On the relative efficiency of the intent-to-treat Wilcoxon–Mann–Whitney test in the presence of noncompliance	8
Explicit solutions for the asymptotically optimal bandwidth in cross-validation	8
Discussion of ‘Event history and topological data analysis’	8
Hug and hop: a discrete-time, nonreversible Markov chain Monte Carlo algorithm	8
Difference-based covariance matrix estimation in time series nonparametric regression with application to specification tests	8
Correction to: ‘Selective machine learning of doubly robust functionals’	8
Continuous Time Locally Stationary Wavelet Processes	8
A proximal distance algorithm for likelihood-based sparse covariance estimation	7
Likelihood-based inference under nonconvex boundary constraints	7
On varimax asymptotics in network models and spectral methods for dimensionality reduction	7
Equivariant estimation of Fréchet means	7
Covariate adjustment in randomized experiments with missing outcomes and covariates	7
A generalized Bayes framework for probabilistic clustering	7
Dependent censoring based on parametric copulas	7
Interpolating discriminant functions in high-dimensional Gaussian latent mixtures	7
An eigenvector-assisted estimation framework for signal-plus-noise matrix models	7
Covariate-adjusted log-rank test: guaranteed efficiency gain and universal applicability	7
Rejoinder: ‘Event history and topological data analysis’	6
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	6
Randomization Inference When N Equals One	6
Universal robust regression via maximum mean discrepancy	6
A rank-based sequential test of independence	6
Discussion of ‘Statistical inference for streamed longitudinal data’	6
Central limit theorems for local network statistics	6
Populations of unlabelled networks: graph space geometry and generalized geodesic principal components	6
Multi-scale Fisher’s independence test for multivariate dependence	6
Generalized infinite factorization models	5
Selective machine learning of doubly robust functionals	5
An Improved Estimator of the Pair Correlation Function of a Spatial Point Process	5
Functional linear regression for discretely observed data: from ideal to reality	5
Variable elimination, graph reduction and the efficient g-formula	5
Efficient Estimation for Functional Accelerated Failure Time Models	5
Clustering consistency with Dirichlet process mixtures	5
Asymptotic distribution-free changepoint detection for data with repeated observations	5
Lasso-adjusted treatment effect estimation under covariate-adaptive randomization	5
Optimal design of the Barker proposal and other locally balanced Metropolis–Hastings algorithms	5
Discussion of ‘Statistical inference for streamed longitudinal data’	5
High-dimensional semi-supervised learning: in search of optimal inference of the mean	5
Significance testing for canonical correlation analysis in high dimensions	5
On the inconsistency of matching without replacement	5
A note on minimax robustness of designs against correlated or heteroscedastic responses	5