OOIR: Observatory of International Research

Papers

(The TQCC of Annals of Statistics is 8. 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 2022-01-01 to 2026-01-01.)

Article	Citations
Estimation and inference for minimizer and minimum of convex functions: Optimality, adaptivity and uncertainty principles	171
Inference in Ising models on dense regular graphs	111
Debiased regression adjustment in completely randomized experiments with moderately high-dimensional covariates	50
Deep horseshoe Gaussian processes	45
Parametric copula adjusted for non- and semiparametric regression	39
Half-trek criterion for identifiability of latent variable models	38
Universal rank inference via residual subsampling with application to large networks	35
High-dimensional statistical inference for linkage disequilibrium score regression and its cross-ancestry extensions	35
Efficiency in local differential privacy	33
A sieve stochastic gradient descent estimator for online nonparametric regression in Sobolev ellipsoids	32
Scalable estimation and inference for censored quantile regression process	31
Near-optimal inference in adaptive linear regression	31
On high-dimensional Poisson models with measurement error: Hypothesis testing for nonlinear nonconvex optimization	27
Deep learning for the partially linear Cox model	26
Spectral gap bounds for reversible hybrid Gibbs chains	25
A geometrical analysis of kernel ridge regression and its applications	25
Learning sparse graphons and the generalized Kesten–Stigum threshold	24
A general characterization of optimal tie-breaker designs	24
Consistent inference for diffusions from low frequency measurements	23
Uniform convergence of local Fréchet regression with applications to locating extrema and time warping for metric space valued trajectories	23
Asymptotic analysis of synchrosqueezing transform—toward statistical inference with nonlinear-type time-frequency analysis	23
Inference for low-rank models	23
Inference for low-rank tensors—no need to debias	22
Yurinskii’s coupling for martingales	21
Admissible ways of merging p-values under arbitrary dependence	21

Adaptive and robust multi-task learning	21
Fundamental limits of community detection from multi-view data: Multi-layer, dynamic and partially labeled block models	20
Fixed and random covariance regression analyses	20
Sharp optimality for high-dimensional covariance testing under sparse signals	20
Limiting distributions for eigenvalues of sample correlation matrices from heavy-tailed populations	19
Consistent order selection for ARFIMA processes	19
Spectral estimation of Hawkes processes from count data	18
On posterior consistency of data assimilation with Gaussian process priors: The 2D-Navier–Stokes equations	18
A common-cause principle for eliminating selection bias in causal estimands through covariate adjustment	18
Environment invariant linear least squares	18
Is infinity that far? A Bayesian nonparametric perspective of finite mixture models	17
Refined Cramér-type moderate deviation theorems for general self-normalized sums with applications to dependent random variables and winsorized mean	17
Rank and factor loadings estimation in time series tensor factor model by pre-averaging	17
Nonparametric classification with missing data	17
Change-point inference in high-dimensional regression models under temporal dependence	17
Order-of-addition orthogonal arrays to study the effect of treatment ordering	16
Rate-optimal estimation of mixed semimartingales	16
Supervised homogeneity fusion: A combinatorial approach	16
New Edgeworth-type expansions with finite sample guarantees	16
Testing goodness-of-fit and conditional independence with approximate co-sufficient sampling	16
Iterative algorithm for discrete structure recovery	15
On the convergence of coordinate ascent variational inference	15
Distributed nonparametric function estimation: Optimal rate of convergence and cost of adaptation	15
Plugin estimation of smooth optimal transport maps	15
Spatial dependence and space–time trend in extreme events	15
Asymptotic distribution of maximum likelihood estimator in generalized linear mixed models with crossed random effects	15
A nonparametric test for elliptical distribution based on kernel embedding of probabilities	15
On the multiway principal component analysis	15
Consistency of Bayesian inference for multivariate max-stable distributions	14
The Lasso with general Gaussian designs with applications to hypothesis testing	14
Toward theoretical understandings of robust Markov decision processes: Sample complexity and asymptotics	14
Minimax rate for multivariate data under componentwise local differential privacy constraints	14
The numeraire e-variable and reverse information projection	14
General spatio-temporal factor models for high-dimensional random fields on a lattice	14
Learning mixtures of permutations: Groups of pairwise comparisons and combinatorial method of moments	13
Sup-norm adaptive drift estimation for multivariate nonreversible diffusions	13
Time-uniform central limit theory and asymptotic confidence sequences	13
Algorithmic stability implies training-conditional coverage for distribution-free prediction methods	12
Consistency of invariance-based randomization tests	12
Wald tests when restrictions are locally singular	12
Computational lower bounds for graphon estimation via low-degree polynomials	12
Backfitting for large scale crossed random effects regressions	12
Transfer learning for contextual multi-armed bandits	12
Edgeworth expansions for network moments	12
Dimension free ridge regression	11
Change acceleration and detection	11
Minimax rate of distribution estimation on unknown submanifolds under adversarial losses	11
Testing nonparametric shape restrictions	11
Surprises in high-dimensional ridgeless least squares interpolation	11
Interactive versus noninteractive locally differentially private estimation: Two elbows for the quadratic functional	11

Projected state-action balancing weights for offline reinforcement learning	11
Linear biomarker combination for constrained classification	11
Finite-sample complexity of sequential Monte Carlo estimators	11
A new approach to tests and confidence bands for distribution functions	11
Minimax nonparametric estimation of pure quantum states	11
Sharp adaptive and pathwise stable similarity testing for scalar ergodic diffusions	11
The Stein effect for Fréchet means	10
Approximate Message Passing algorithms for rotationally invariant matrices	10
Nonlinear global Fréchet regression for random objects via weak conditional expectation	10
Testing for independence in high dimensions based on empirical copulas	10
Bridging factor and sparse models	10
Noisy linear inverse problems under convex constraints: Exact risk asymptotics in high dimensions	10
Ridge regression revisited: Debiasing, thresholding and bootstrap	10
Detecting multiple replicating signals using adaptive filtering procedures	10
Testing community structure for hypergraphs	10
Confidence regions near singular information and boundary points with applications to mixed models	10
ARK: Robust knockoffs inference with coupling	10
On least squares estimation under heteroscedastic and heavy-tailed errors	10
Dispersal density estimation across scales	10
On universally consistent and fully distribution-free rank tests of vector independence	9
ℓ2 inference for change points in high-dimensional time series via a Two-Way MOSUM	9
Testing high-dimensional regression coefficients in linear models	9
Tensor clustering with planted structures: Statistical optimality and computational limits	9
On the sample complexity of entropic optimal transport	9
Carving model-free inference	9
Semiparametric inference based on adaptively collected data	9
Adaptive estimation in multivariate response regression with hidden variables	9
A flexible defense against the winner’s curse	9
Correction note: “Asymptotic spectral theory for nonlinear time series”	9
Large-dimensional independent component analysis: Statistical optimality and computational tractability	8
Statistical inference for principal components of spiked covariance matrices	8
Online estimation with rolling validation: Adaptive nonparametric estimation with streaming data	8
Joint sequential detection and isolation for dependent data streams	8
Conformal inference for random objects	8
A nonparametric doubly robust test for a continuous treatment effect	8
Local convexity of the TAP free energy and AMP convergence for Z2-synchronization	8
Asymptotic distributions of largest Pearson correlation coefficients under dependent structures	8
Matching recovery threshold for correlated random graphs	8
Ensemble projection pursuit for general nonparametric regression	8
Entrywise dynamics and universality of general first order methods	8