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 2020-05-01 to 2024-05-01.)

Article	Citations
Quasi-oracle estimation of heterogeneous treatment effects	151
Jeffreys-prior penalty, finiteness and shrinkage in binomial-response generalized linear models	80
Optimal subsampling for quantile regression in big data	68
Combining p-values via averaging	64
Robust estimation of causal effects via a high-dimensional covariate balancing propensity score	33
Estimating time-varying causal excursion effects in mobile health with binary outcomes	27
Heterogeneity-aware and communication-efficient distributed statistical inference	26
Regression-adjusted average treatment effect estimates in stratified randomized experiments	24
Bayesian cumulative shrinkage for infinite factorizations	24
Estimation and inference for the indirect effect in high-dimensional linear mediation models	23
Nonparametric efficient causal mediation with intermediate confounders	22
Mean decrease accuracy for random forests: inconsistency, and a practical solution via the Sobol-MDA	21
On the power of Chatterjee’s rank correlation	20
Large-sample asymptotics of the pseudo-marginal method	16
More efficient approximation of smoothing splines via space-filling basis selection	16
Inference on the average treatment effect under minimization and other covariate-adaptive randomization methods	15
The Pitman–Yor multinomial process for mixture modelling	14
Valid sequential inference on probability forecast performance	13
A method of constructing maximin distance designs	13
Partial separability and functional graphical models for multivariate Gaussian processes	13
Componentwise approximate Bayesian computation via Gibbs-like steps	12
Regression adjustment in completely randomized experiments with a diverging number of covariates	12
Consistency guarantees for greedy permutation-based causal inference algorithms	12
A general interactive framework for false discovery rate control under structural constraints	12
In search of lost mixing time: adaptive Markov chain Monte Carlo schemes for Bayesian variable selection with very large p	12

Fast and powerful conditional randomization testing via distillation	11
Statistical properties of sketching algorithms	11
On order determination by predictor augmentation	11
A nonparametric approach to high-dimensional k-sample comparison problems	11
Extended stochastic gradient Markov chain Monte Carlo for large-scale Bayesian variable selection	11
Hypotheses on a tree: new error rates and testing strategies	11
Searching for robust associations with a multi-environment knockoff filter	10
Determining the dependence structure of multivariate extremes	10
Characterization of parameters with a mixed bias property	10
Confidence regions in Wasserstein distributionally robust estimation	10
On boosting the power of Chatterjee’s rank correlation	9
An asymptotic and empirical smoothing parameters selection method for smoothing spline ANOVA models in large samples	9
Seeded binary segmentation: a general methodology for fast and optimal changepoint detection	9
A minimum aberration-type criterion for selecting space-filling designs	9
Dependent censoring based on parametric copulas	8
Generalized infinite factorization models	8
High-dimensional empirical likelihood inference	8
Data integration: exploiting ratios of parameter estimates from a reduced external model	8
Propensity scores in the design of observational studies for causal effects	8
Demystifying a class of multiply robust estimators	8
Fréchet sufficient dimension reduction for random objects	8
Efficient posterior sampling for high-dimensional imbalanced logistic regression	7
Sparse functional linear discriminant analysis	7
Efficient semiparametric estimation of network treatment effects under partial interference	7
Average direct and indirect causal effects under interference	7
Estimating differential latent variable graphical models with applications to brain connectivity	7
Elicitation complexity of statistical properties	7
Statistical inference for streamed longitudinal data	7
Maximum likelihood estimation for semiparametric regression models with panel count data	7
On semiparametric modelling, estimation and inference for survival data subject to dependent censoring	7
Hypothesis testing for phylogenetic composition: a minimum-cost flow perspective	6
Jackknife empirical likelihood: small bandwidth, sparse network and high-dimensional asymptotics	6
Matrix-variate logistic regression with measurement error	6
Robust differential abundance test in compositional data	6
Lasso-adjusted treatment effect estimation under covariate-adaptive randomization	6
Joint latent space models for network data with high-dimensional node variables	6
Estimation of the cure rate for distributions in the Gumbel maximum domain of attraction under insufficient follow-up	6
High-quantile regression for tail-dependent time series	6
Jump or kink: on super-efficiency in segmented linear regression breakpoint estimation	6
Basis expansions for functional snippets	6
Risk bounds for quantile trend filtering	6
Distribution-on-distribution regression via optimal transport maps	6
Splitting strategies for post-selection inference	6
Functional regression on the manifold with contamination	6
Gaussian universal likelihood ratio testing	6
Lattice-based designs with quasi-optimal separation distance on all projections	6
Graphical Gaussian process models for highly multivariate spatial data	6
Lugsail lag windows for estimating time-average covariance matrices	5
Assessing cure status prediction from survival data using receiver operating characteristic curves	5
Modelling temporal biomarkers with semiparametric nonlinear dynamical systems	5

A discrete bouncy particle sampler	5
A proximal distance algorithm for likelihood-based sparse covariance estimation	5
Adjusting the Benjamini–Hochberg method for controlling the false discovery rate in knockoff-assisted variable selection	5
More for less: predicting and maximizing genomic variant discovery via Bayesian nonparametrics	5
Poisson reduced-rank models with an application to political text data	5
Minimax designs for causal effects in temporal experiments with treatment habituation	5
Functional linear regression for discretely observed data: from ideal to reality	5
Adaptive critical value for constrained likelihood ratio testing	5
Clustering consistency with Dirichlet process mixtures	5
Posterior contraction in sparse generalized linear models	5
On the phase transition of Wilks’ phenomenon	5
High-dimensional log-error-in-variable regression with applications to microbial compositional data analysis	5
Regression-based causal inference with factorial experiments: estimands, model specifications and design-based properties	5
On the inconsistency of matching without replacement	5
Finite-time analysis of vector autoregressive models under linear restrictions	5
High-dimensional semi-supervised learning: in search of optimal inference of the mean	5
Multi-scale Fisher’s independence test for multivariate dependence	5
A high-dimensional power analysis of the conditional randomization test and knockoffs	5
Scalar-on-function local linear regression and beyond	5
Inference under unequal probability sampling with the Bayesian exponentially tilted empirical likelihood	5