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Annals of Statistics

Institute of Mathematical Statistics

AJG 4*ABDC A*
Abstract coverage—see 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
Change point estimation for a stochastic heat equation
Markus Reiß et al.
20261 citations
Information theoretic limits of robust sub-Gaussian mean estimation under star-shaped constraints
Akshay Prasadan & Matey Neykov
20261 citations
Confounder selection via iterative graph expansion
F. Richard Guo & Qingyuan Zhao
20261 citations
Finite- and large sample inference for model and coefficients in high-dimensional linear regression with repro samples
Peng Wang et al.
20260 citations
Parameter identification in linear non-Gaussian causal models under general confounding
Daniele Tramontano et al.
20260 citations
Communication-efficient and distributed-oracle estimation for high-dimensional quantile regression
Songshan Yang et al.
20260 citations
On the structural dimension of sliced inverse regression
Dongming Huang et al.
20260 citations
Generalized multilinear models for sufficient dimension reduction on tensor-valued predictors
Daniel Kapla & Efstathia Bura
20260 citations
Scalable inference for nonparametric stochastic approximation in reproducing kernel Hilbert spaces
Meimei Liu et al.
20260 citations
Near optimal sample complexity for matrix and tensor normal models via geodesic convexity
Cole Franks et al.
20260 citations
Inferring the dependence graph density of binary graphical models in high dimension
Julien Chevallier et al.
20260 citations
Optimality of approximate message passing for spiked matrix models with rotationally invariant noise
Rishabh Dudeja et al.
20260 citations
Eigenvector overlaps in large sample covariance matrices and nonlinear shrinkage estimators
Zeqin Lin & Guangming Pan
20260 citations
Multivariate root-n-consistent smoothing parameter-free matching estimators and estimators of inverse density weighted expectations
Hajo Holzmann & Alexander Meister
20260 citations
The distributionally robust prediction error of the LASSO and related estimators
José Luis Montiel Olea et al.
20260 citations
Neural networks generalize on low complexity data
Sourav Chatterjee & Timothy Sudijono
20260 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
Berry–Esseen bounds for design-based causal inference with possibly diverging treatment levels and varying group sizes
Lei Shi & Peng Ding
20260 citations

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