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 2022-08-01 to 2026-08-01.)

Article	Citations
Estimation and inference for minimizer and minimum of convex functions: Optimality, adaptivity and uncertainty principles	206
High-dimensional statistical inference for linkage disequilibrium score regression and its cross-ancestry extensions	68
Inference in Ising models on dense regular graphs	53
Near-optimal inference in adaptive linear regression	50
A sieve stochastic gradient descent estimator for online nonparametric regression in Sobolev ellipsoids	43
Efficiency in local differential privacy	39
Half-trek criterion for identifiability of latent variable models	32
Approximate independence of permutation mixtures	31
Deep horseshoe Gaussian processes	31
On high-dimensional Poisson models with measurement error: Hypothesis testing for nonlinear nonconvex optimization	31
A geometrical analysis of kernel ridge regression and its applications	28
Scalable estimation and inference for censored quantile regression process	28
Universal rank inference via residual subsampling with application to large networks	26
Optimal convex M-estimation via score matching	26
Fundamental limits of community detection from multi-view data: Multi-layer, dynamic and partially labeled block models	25
Debiased regression adjustment in completely randomized experiments with moderately high-dimensional covariates	25
Learning sparse graphons and the generalized Kesten–Stigum threshold	24
A general characterization of optimal tie-breaker designs	23
Trace test for high-dimensional cointegration	22
Rank tests for PCA under weak identifiability	22
Consistent inference for diffusions from low frequency measurements	21
Spectrum-aware debiasing: A modern inference framework with applications to principal components regression	20
Adaptive and robust multi-task learning	20
Asymptotic analysis of synchrosqueezing transform—toward statistical inference with nonlinear-type time-frequency analysis	20
Spectral gap bounds for reversible hybrid Gibbs chains	19

Inference for low-rank models	18
Sharp optimality for high-dimensional covariance testing under sparse signals	18
Yurinskii’s coupling for martingales	18
On posterior consistency of data assimilation with Gaussian process priors: The 2D-Navier–Stokes equations	18
Gradient descent inference in empirical risk minimization	18
Change-point inference in high-dimensional regression models under temporal dependence	18
Rate-optimal estimation of mixed semimartingales	17
Environment invariant linear least squares	17
Statistical-computational trade-offs for recursive adaptive partitioning estimators	17
A common-cause principle for eliminating selection bias in causal estimands through covariate adjustment	17
Near optimal sample complexity for matrix and tensor normal models via geodesic convexity	17
Rank and factor loadings estimation in time series tensor factor model by pre-averaging	17
Fixed and random covariance regression analyses	17
Supervised homogeneity fusion: A combinatorial approach	16
Order-of-addition orthogonal arrays to study the effect of treatment ordering	16
Nonparametric classification with missing data	15
Limiting distributions for eigenvalues of sample correlation matrices from heavy-tailed populations	15
Object detection under the linear subspace model with application to cryo-EM images	15
New Edgeworth-type expansions with finite sample guarantees	15
General spatio-temporal factor models for high-dimensional random fields on a lattice	15
Testing goodness-of-fit and conditional independence with approximate co-sufficient sampling	15
Is infinity that far? A Bayesian nonparametric perspective of finite mixture models	15
A nonparametric test for elliptical distribution based on kernel embedding of probabilities	15
Toward theoretical understandings of robust Markov decision processes: Sample complexity and asymptotics	15
On the convergence of coordinate ascent variational inference	14
On the multiway principal component analysis	14
Learning extremal graphical structures in high dimensions	14
On the structural dimension of sliced inverse regression	14
Asymptotic distribution of maximum likelihood estimator in generalized linear mixed models with crossed random effects	14
Consistency of invariance-based randomization tests	13
Projected state-action balancing weights for offline reinforcement learning	13
Transfer learning for contextual multi-armed bandits	13
Minimax rate of distribution estimation on unknown submanifolds under adversarial losses	13
Learning mixtures of permutations: Groups of pairwise comparisons and combinatorial method of moments	13
Plugin estimation of smooth optimal transport maps	13
The numeraire e-variable and reverse information projection	13
Minimax rate for multivariate data under componentwise local differential privacy constraints	13
Sup-norm adaptive drift estimation for multivariate nonreversible diffusions	12
Algorithmic stability implies training-conditional coverage for distribution-free prediction methods	12
Communication-efficient and distributed-oracle estimation for high-dimensional quantile regression	12
The Lasso with general Gaussian designs with applications to hypothesis testing	12
Wald tests when restrictions are locally singular	12
Time-uniform central limit theory and asymptotic confidence sequences	12
Computational lower bounds for graphon estimation via low-degree polynomials	11
Finite-sample complexity of sequential Monte Carlo estimators	11
A new approach to tests and confidence bands for distribution functions	11
Testing nonparametric shape restrictions	11
Testing for independence in high dimensions based on empirical copulas	11
Noisy linear inverse problems under convex constraints: Exact risk asymptotics in high dimensions	11
Sharp adaptive and pathwise stable similarity testing for scalar ergodic diffusions	11

Confounder selection via iterative graph expansion	11
Interactive versus noninteractive locally differentially private estimation: Two elbows for the quadratic functional	11
The distributionally robust prediction error of the LASSO and related estimators	10
Dimension free ridge regression	10
Dispersal density estimation across scales	10
Change acceleration and detection	10
Linear biomarker combination for constrained classification	10
Detecting multiple replicating signals using adaptive filtering procedures	10
ARK: Robust knockoffs inference with coupling	9
On universally consistent and fully distribution-free rank tests of vector independence	9
A flexible defense against the winner’s curse	9
The Stein effect for Fréchet means	9
Bridging factor and sparse models	9
On the sample complexity of entropic optimal transport	9
Nonlinear global Fréchet regression for random objects via weak conditional expectation	9
ℓ2 inference for change points in high-dimensional time series via a Two-Way MOSUM	9
Carving model-free inference	9
Correction note: “Asymptotic spectral theory for nonlinear time series”	8
Semiparametric inference based on adaptively collected data	8
Conformal inference for random objects	8
Online estimation with rolling validation: Adaptive nonparametric estimation with streaming data	8
Dualizing Le Cam’s method for functional estimation I: General theory	8
Joint sequential detection and isolation for dependent data streams	8
Local convexity of the TAP free energy and AMP convergence for Z2-synchronization	8
Matching recovery threshold for correlated random graphs	7
Testing high-dimensional regression coefficients in linear models	7
Asymptotic distributions of largest Pearson correlation coefficients under dependent structures	7
Efficient estimation of the maximal association between multiple predictors and a survival outcome	7
Post-selection inference via algorithmic stability	7
Embedding distributional data	7
Multivariate trend filtering for lattice data	7
Large-dimensional independent component analysis: Statistical optimality and computational tractability	7
Information theoretic limits of robust sub-Gaussian mean estimation under star-shaped constraints	7
Global and individualized community detection in inhomogeneous multilayer networks	7
Symmetry: A general structure in nonparametric regression	7
Spectral analysis of gram matrices with missing at random observations: Convergence, central limit theorems, and applications in statistical inference	7
A nonparametric doubly robust test for a continuous treatment effect	7
Ensemble projection pursuit for general nonparametric regression	7
Affine-equivariant inference for multivariate location under Lp loss functions	7
Entrywise dynamics and universality of general first order methods	7
A general framework to quantify deviations from structural assumptions in the analysis of nonstationary function-valued processes	7
Local permutation tests for conditional independence	7
Adaptive variational Bayes: Optimality, computation and applications	7
Bootstrapping persistent Betti numbers and other stabilizing statistics	7