Nearly optimal central limit theorem and bootstrap approximations in high dimensions

17 December 2020

Papers citing "Nearly optimal central limit theorem and bootstrap approximations in high dimensions"

7 / 7 papers shown

Title
A remark on moment-dependent phase transitions in high-dimensional Gaussian approximations Anders Bredahl Kock David Preinerstorfer 14 3 0 19 Oct 2023
Sparse High-Dimensional Vector Autoregressive Bootstrap R. Adámek Stephan Smeekes Ines Wilms 8 1 0 02 Feb 2023
Testing Many Constraints in Possibly Irregular Models Using Incomplete U-Statistics Nils Sturma Mathias Drton Dennis Leung 17 3 0 24 Aug 2022
Are Latent Factor Regression and Sparse Regression Adequate? Jianqing Fan Zhipeng Lou Mengxin Yu CML 17 21 0 02 Mar 2022
Rerandomization with Diminishing Covariate Imbalance and Diverging Number of Covariates Yuhao Wang Xinran Li 11 13 0 06 Sep 2021
Improved Central Limit Theorem and bootstrap approximations in high dimensions Victor Chernozhukov Denis Chetverikov Kengo Kato Yuta Koike 28 74 0 22 Dec 2019
Comparison and anti-concentration bounds for maxima of Gaussian random vectors Victor Chernozhukov Denis Chetverikov Kengo Kato 48 220 0 21 Jan 2013