Annals of Statistics

Papers
(The H4-Index of Annals of Statistics is 23. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Estimation and inference for minimizer and minimum of convex functions: Optimality, adaptivity and uncertainty principles151
A sieve stochastic gradient descent estimator for online nonparametric regression in Sobolev ellipsoids87
Inference in Ising models on dense regular graphs70
Efficiency in local differential privacy54
Scalable estimation and inference for censored quantile regression process42
Half-trek criterion for identifiability of latent variable models37
Parametric copula adjusted for non- and semiparametric regression37
On high-dimensional Poisson models with measurement error: Hypothesis testing for nonlinear nonconvex optimization35
Measuring dependence in the Wasserstein distance for Bayesian nonparametric models34
Online inference with multi-modal likelihood functions34
Foundations of structural causal models with cycles and latent variables33
Deep learning for the partially linear Cox model30
Universal rank inference via residual subsampling with application to large networks30
Inference for low-rank tensors—no need to debias29
Learning sparse graphons and the generalized Kesten–Stigum threshold29
Uniform convergence of local Fréchet regression with applications to locating extrema and time warping for metric space valued trajectories29
A general characterization of optimal tie-breaker designs29
Asymptotic analysis of synchrosqueezing transform—toward statistical inference with nonlinear-type time-frequency analysis28
Admissible ways of merging p-values under arbitrary dependence28
Inference for low-rank models26
Adaptive and robust multi-task learning26
Consistent inference for diffusions from low frequency measurements26
Rate-optimal estimation of mixed semimartingales24
Nonparametric classification with missing data23
Environment invariant linear least squares23
0.085106134414673