OOIR: Observatory of International Research

Papers

(The TQCC of Annals of Statistics 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 2021-06-01 to 2025-06-01.)

Article	Citations
On high-dimensional Poisson models with measurement error: Hypothesis testing for nonlinear nonconvex optimization	136
Estimation and inference for minimizer and minimum of convex functions: Optimality, adaptivity and uncertainty principles	84
A sieve stochastic gradient descent estimator for online nonparametric regression in Sobolev ellipsoids	72
Inference in Ising models on dense regular graphs	70
Robust k-means clustering for distributions with two moments	68
Efficiency in local differential privacy	68
Measuring dependence in the Wasserstein distance for Bayesian nonparametric models	64
Half-trek criterion for identifiability of latent variable models	52
Online inference with multi-modal likelihood functions	42
Universal rank inference via residual subsampling with application to large networks	41
Foundations of structural causal models with cycles and latent variables	35
Parametric copula adjusted for non- and semiparametric regression	33
Scalable estimation and inference for censored quantile regression process	33
Deep learning for the partially linear Cox model	32
A general characterization of optimal tie-breaker designs	31
Learning sparse graphons and the generalized Kesten–Stigum threshold	31
Adaptive and robust multi-task learning	29
Asymptotic distributions of high-dimensional distance correlation inference	28
Consistent inference for diffusions from low frequency measurements	27
Community detection with dependent connectivity	26
Inference for low-rank tensors—no need to debias	26
Inference for low-rank models	26
Asymptotic analysis of synchrosqueezing transform—toward statistical inference with nonlinear-type time-frequency analysis	26
Admissible ways of merging p-values under arbitrary dependence	25
Uniform convergence of local Fréchet regression with applications to locating extrema and time warping for metric space valued trajectories	24

Rate-optimal estimation of mixed semimartingales	24
Order-of-addition orthogonal arrays to study the effect of treatment ordering	22
Nonparametric classification with missing data	22
Environment invariant linear least squares	22
Refined Cramér-type moderate deviation theorems for general self-normalized sums with applications to dependent random variables and winsorized mean	22
Sharp optimality for high-dimensional covariance testing under sparse signals	21
Testing goodness-of-fit and conditional independence with approximate co-sufficient sampling	21
On posterior consistency of data assimilation with Gaussian process priors: The 2D-Navier–Stokes equations	21
Supervised homogeneity fusion: A combinatorial approach	21
Spectral estimation of Hawkes processes from count data	20
Consistent order selection for ARFIMA processes	20
Rank and factor loadings estimation in time series tensor factor model by pre-averaging	20
Limiting distributions for eigenvalues of sample correlation matrices from heavy-tailed populations	19
A causal bootstrap	19
Is infinity that far? A Bayesian nonparametric perspective of finite mixture models	19
Change-point inference in high-dimensional regression models under temporal dependence	19
New Edgeworth-type expansions with finite sample guarantees	18
Wilks’ theorem for semiparametric regressions with weakly dependent data	18
Spatial dependence and space–time trend in extreme events	18
A nonparametric test for elliptical distribution based on kernel embedding of probabilities	18
Consistency of Bayesian inference for multivariate max-stable distributions	17
General spatio-temporal factor models for high-dimensional random fields on a lattice	17
Iterative algorithm for discrete structure recovery	17
Plugin estimation of smooth optimal transport maps	17
Toward theoretical understandings of robust Markov decision processes: Sample complexity and asymptotics	17
Time-uniform central limit theory and asymptotic confidence sequences	16
Distributed nonparametric function estimation: Optimal rate of convergence and cost of adaptation	16
Computational lower bounds for graphon estimation via low-degree polynomials	16
Sup-norm adaptive drift estimation for multivariate nonreversible diffusions	16
Learning mixtures of permutations: Groups of pairwise comparisons and combinatorial method of moments	16
Optimal rates for independence testing via U-statistic permutation tests	15
Wald tests when restrictions are locally singular	15
Backfitting for large scale crossed random effects regressions	15
A shrinkage principle for heavy-tailed data: High-dimensional robust low-rank matrix recovery	15
Consistency of invariance-based randomization tests	15
Surprises in high-dimensional ridgeless least squares interpolation	14
Edgeworth expansions for network moments	14
Projected state-action balancing weights for offline reinforcement learning	14
The Lasso with general Gaussian designs with applications to hypothesis testing	14
Minimax rate of distribution estimation on unknown submanifolds under adversarial losses	14
Testing for independence in high dimensions based on empirical copulas	13
Transfer learning for contextual multi-armed bandits	13
Linear biomarker combination for constrained classification	13
A new approach to tests and confidence bands for distribution functions	13
Detecting multiple replicating signals using adaptive filtering procedures	13
Minimax nonparametric estimation of pure quantum states	13
Noisy linear inverse problems under convex constraints: Exact risk asymptotics in high dimensions	12
Confidence regions near singular information and boundary points with applications to mixed models	12
On least squares estimation under heteroscedastic and heavy-tailed errors	12
Sharp adaptive and pathwise stable similarity testing for scalar ergodic diffusions	12

Dimension free ridge regression	12
Testing nonparametric shape restrictions	12
Interactive versus noninteractive locally differentially private estimation: Two elbows for the quadratic functional	12
Change acceleration and detection	12
On universally consistent and fully distribution-free rank tests of vector independence	11
Adaptive transfer learning	11
Testing community structure for hypergraphs	11
Carving model-free inference	11
Finite-sample complexity of sequential Monte Carlo estimators	11
Dispersal density estimation across scales	11
Approximate Message Passing algorithms for rotationally invariant matrices	11
Adaptive estimation in multivariate response regression with hidden variables	10
Tensor clustering with planted structures: Statistical optimality and computational limits	10
Nonlinear global Fréchet regression for random objects via weak conditional expectation	10
ℓ2 inference for change points in high-dimensional time series via a Two-Way MOSUM	10
ARK: Robust knockoffs inference with coupling	10
Ridge regression revisited: Debiasing, thresholding and bootstrap	10
Marginal singularity and the benefits of labels in covariate-shift	10
The Stein effect for Fréchet means	10
Learning models with uniform performance via distributionally robust optimization	10
On the sample complexity of entropic optimal transport	10
SuperMix: Sparse regularization for mixtures	9
Bridging factor and sparse models	9
Joint sequential detection and isolation for dependent data streams	9
Statistical inference for principal components of spiked covariance matrices	9
Sparse high-dimensional linear regression. Estimating squared error and a phase transition	9
Correction note: “Asymptotic spectral theory for nonlinear time series”	9
Testing high-dimensional regression coefficients in linear models	9
Large-dimensional independent component analysis: Statistical optimality and computational tractability	9
Matching recovery threshold for correlated random graphs	9
Local convexity of the TAP free energy and AMP convergence for Z2-synchronization	9
Existence and uniqueness of the Kronecker covariance MLE	9
Heavy-tailed Bayesian nonparametric adaptation	8
On robustness and local differential privacy	8
Analysis of generalized Bregman surrogate algorithms for nonsmooth nonconvex statistical learning	8
Inference for a two-stage enrichment design	8
Multivariate trend filtering for lattice data	8
A nonparametric doubly robust test for a continuous treatment effect	8
Affine-equivariant inference for multivariate location under Lp loss functions	8
Rerandomization with diminishing covariate imbalance and diverging number of covariates	8
Global and individualized community detection in inhomogeneous multilayer networks	8
Ensemble projection pursuit for general nonparametric regression	8
Spectral analysis of gram matrices with missing at random observations: Convergence, central limit theorems, and applications in statistical inference	8
Adaptive variational Bayes: Optimality, computation and applications	8
A general framework to quantify deviations from structural assumptions in the analysis of nonstationary function-valued processes	7
Optimal false discovery rate control for large scale multiple testing with auxiliary information	7
Some theory about efficient dimension reduction regarding the interaction between two responses	7
Total positivity in multivariate extremes	7
Bootstrapping persistent Betti numbers and other stabilizing statistics	7
Peskun–Tierney ordering for Markovian Monte Carlo: Beyond the reversible scenario	7
The online closure principle	7
Two-level parallel flats designs	7
General and feasible tests with multiply-imputed datasets	7
Universal regression with adversarial responses	7
Post-selection inference via algorithmic stability	7
Local permutation tests for conditional independence	7
Estimating a density near an unknown manifold: A Bayesian nonparametric approach	7
Rates of estimation for high-dimensional multireference alignment	7
Adaptive novelty detection with false discovery rate guarantee	7
Optimal signal detection in some spiked random matrix models: Likelihood ratio tests and linear spectral statistics	7
Efficient estimation of the maximal association between multiple predictors and a survival outcome	7
Embedding distributional data	7