$Central Limit Theorem and Bootstrap Approximation in High Dimensions: Near $1/\sqrt{n}$ Rates via Implicit Smoothing$

Central Limit Theorem and Bootstrap Approximation in High Dimensions: Near $1/\sqrt{n}$ Rates via Implicit Smoothing

13 September 2020

Papers citing "Central Limit Theorem and Bootstrap Approximation in High Dimensions: Near $1/\sqrt{n}$ Rates via Implicit Smoothing"

4 / 4 papers shown

Title
A remark on moment-dependent phase transitions in high-dimensional Gaussian approximations Anders Bredahl Kock David Preinerstorfer 31 3 0 19 Oct 2023
Statistical inferences for complex dependence of multimodal imaging data Jinyuan Chang Jing He Jian Kang Mingcong Wu 41 2 0 07 Mar 2023
High-dimensional Berry-Esseen Bound for $m$ -Dependent Random Samples Heejong Bong Arun K. Kuchibhotla Alessandro Rinaldo 21 1 0 10 Dec 2022
Testing Many Constraints in Possibly Irregular Models Using Incomplete U-Statistics Nils Sturma Mathias Drton Dennis Leung 30 3 0 24 Aug 2022