Annals of Statistics

Papers
(The H4-Index of Annals of Statistics is 24. 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 2020-10-01 to 2024-10-01.)
ArticleCitations
Surprises in high-dimensional ridgeless least squares interpolation96
Predictive inference with the jackknife+90
Analytical nonlinear shrinkage of large-dimensional covariance matrices87
E-values: Calibration, combination and applications61
Learning models with uniform performance via distributionally robust optimization50
A simple measure of conditional dependence48
Time-uniform, nonparametric, nonasymptotic confidence sequences46
Distribution and quantile functions, ranks and signs in dimension d: A measure transportation approach46
On the rate of convergence of fully connected deep neural network regression estimates45
Debiased inverse-variance weighted estimator in two-sample summary-data Mendelian randomization43
Average treatment effects in the presence of unknown interference36
Robust multivariate nonparametric tests via projection averaging35
A shrinkage principle for heavy-tailed data: High-dimensional robust low-rank matrix recovery34
Foundations of structural causal models with cycles and latent variables33
Transfer learning for nonparametric classification: Minimax rate and adaptive classifier32
Conformal prediction beyond exchangeability30
Robust multivariate mean estimation: The optimality of trimmed mean28
Approximate Message Passing algorithms for rotationally invariant matrices27
On cross-validated Lasso in high dimensions27
Linearized two-layers neural networks in high dimension27
Estimation of low-rank matrices via approximate message passing25
The cost of privacy: Optimal rates of convergence for parameter estimation with differential privacy25
Extreme conditional expectile estimation in heavy-tailed heteroscedastic regression models24
Optimal change point detection and localization in sparse dynamic networks24
Distance-based and RKHS-based dependence metrics in high dimension24
The distribution of the Lasso: Uniform control over sparse balls and adaptive parameter tuning24
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