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Annals of Statistics

Institute of Mathematical Statistics

AJG 4*ABDC A*
Abstract coveragesee Methodology
Recent paperssorted by most recent
PaperYearCitations
Pseudo-likelihood-based M-estimation of random graphs with dependent edges and parameter vectors of increasing dimension
Jonathan R. Stewart & Michael Schweinberger
20263 citations
Confounder selection via iterative graph expansion
F. Richard Guo & Qingyuan Zhao
20261 citations
Information theoretic limits of robust sub-Gaussian mean estimation under star-shaped constraints
Akshay Prasadan & Matey Neykov
20261 citations
Change point estimation for a stochastic heat equation
Markus Reiß et al.
20261 citations
Scalable inference in functional linear regression with streaming data
Jinhan Xie et al.
20260 citations
Dualizing Le Cam’s method for functional estimation I: General theory
Yury Polyanskiy & Yihong Wu
20260 citations
Neural networks generalize on low complexity data
Sourav Chatterjee & Timothy Sudijono
20260 citations
Information theoretic limits of robust sub-Gaussian mean estimation under star-shaped constraints
Akshay Prasadan & Matey Neykov
20260 citations
Multivariate root-n-consistent smoothing parameter-free matching estimators and estimators of inverse density weighted expectations
Hajo Holzmann & Alexander Meister
20260 citations
Large-scale multiple testing: Fundamental limits of false discovery rate control and compound oracle
Yutong Nie & Yihong Wu
20260 citations
Versatile differentially private learning for general loss functions
Qilong Lu et al.
20260 citations
Spectrum-aware debiasing: A modern inference framework with applications to principal components regression
Y.B. Li & Pragya Sur
20260 citations
Analysis of singular subspaces under random perturbations
Ke Wang
20260 citations
Pseudo-Labeling for kernel ridge regression under covariate shift
Kaizheng Wang
20260 citations
A computational transition for detecting correlated stochastic block models by low-degree polynomials
Guanyi Chen et al.
20260 citations
Solving the Poisson equation using coupled Markov chains
Randal Douc et al.
20260 citations
Adaptive Bayesian regression on data with low intrinsic dimensionality
Tao Tang et al.
20260 citations
Distributionally robust learning for multisource unsupervised domain adaptation
Zhenyu Wang et al.
20260 citations
Optimal convex M-estimation via score matching
Oliver Y. Feng et al.
20260 citations
The distributionally robust prediction error of the LASSO and related estimators
José Luis Montiel Olea et al.
20260 citations

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