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High-dimensional Central Limit Theorems by Stein's Method
v1v2 (latest)

High-dimensional Central Limit Theorems by Stein's Method

29 January 2020
Xiao Fang
Yuta Koike
ArXiv (abs)PDFHTML

Papers citing "High-dimensional Central Limit Theorems by Stein's Method"

22 / 22 papers shown
Title
A Bootstrap Hypothesis Test for High-Dimensional Mean Vectors
A Bootstrap Hypothesis Test for High-Dimensional Mean Vectors
Alexander Giessing
Jianqing Fan
58
2
0
03 Sep 2023
Quantitative CLTs in Deep Neural Networks
Quantitative CLTs in Deep Neural Networks
Stefano Favaro
Boris Hanin
Domenico Marinucci
I. Nourdin
G. Peccati
BDL
112
16
0
12 Jul 2023
Central Limit Theorems and Approximation Theory: Part II
Central Limit Theorems and Approximation Theory: Part II
Arun K. Kuchibhotla
23
0
0
26 Jun 2023
High-dimensional Central Limit Theorems by Stein's Method in the
  Degenerate Case
High-dimensional Central Limit Theorems by Stein's Method in the Degenerate Case
Xiao Fang
Yuta Koike
Song-Hao Liu
Yi Zhao
72
3
0
27 May 2023
Sharp Deviations Bounds for Dirichlet Weighted Sums with Application to
  analysis of Bayesian algorithms
Sharp Deviations Bounds for Dirichlet Weighted Sums with Application to analysis of Bayesian algorithms
Denis Belomestny
Pierre Menard
A. Naumov
D. Tiapkin
Michal Valko
54
2
0
06 Apr 2023
Bootstrap in High Dimension with Low Computation
Bootstrap in High Dimension with Low Computation
Henry Lam
Zhen-Yan Liu
46
5
0
20 Oct 2022
Testing Many Constraints in Possibly Irregular Models Using Incomplete
  U-Statistics
Testing Many Constraints in Possibly Irregular Models Using Incomplete U-Statistics
Nils Sturma
Mathias Drton
Dennis Leung
98
5
0
24 Aug 2022
Berry-Esseen Theorem for Sample Quantiles with Locally Dependent Data
Berry-Esseen Theorem for Sample Quantiles with Locally Dependent Data
P. Dey
Grigory Terlov
46
0
0
18 Aug 2022
High-dimensional Data Bootstrap
High-dimensional Data Bootstrap
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
Yuta Koike
87
32
0
19 May 2022
A Cheap Bootstrap Method for Fast Inference
A Cheap Bootstrap Method for Fast Inference
Henry Lam
94
11
0
31 Jan 2022
Rerandomization with Diminishing Covariate Imbalance and Diverging
  Number of Covariates
Rerandomization with Diminishing Covariate Imbalance and Diverging Number of Covariates
Yuhao Wang
Xinran Li
80
15
0
06 Sep 2021
Strong Gaussian Approximation for the Sum of Random Vectors
Strong Gaussian Approximation for the Sum of Random Vectors
N. Buzun
N. Shvetsov
Dmitry V. Dylov
OT
47
1
0
10 Jun 2021
The HulC: Confidence Regions from Convex Hulls
The HulC: Confidence Regions from Convex Hulls
Arun K. Kuchibhotla
Sivaraman Balakrishnan
Larry A. Wasserman
66
20
0
30 May 2021
Gaussian approximation and spatially dependent wild bootstrap for
  high-dimensional spatial data
Gaussian approximation and spatially dependent wild bootstrap for high-dimensional spatial data
Daisuke Kurisu
Kengo Kato
Xiaofeng Shao
123
12
0
19 Mar 2021
Nearly optimal central limit theorem and bootstrap approximations in
  high dimensions
Nearly optimal central limit theorem and bootstrap approximations in high dimensions
Victor Chernozhukov
Denis Chetverikov
Yuta Koike
104
43
0
17 Dec 2020
Central Limit Theorem and Near classical Berry-Esseen rate for self
  normalized sums in high dimensions
Central Limit Theorem and Near classical Berry-Esseen rate for self normalized sums in high dimensions
Debraj Das
78
0
0
07 Dec 2020
High-dimensional CLT for Sums of Non-degenerate Random Vectors:
  $n^{-1/2}$-rate
High-dimensional CLT for Sums of Non-degenerate Random Vectors: n−1/2n^{-1/2}n−1/2-rate
Arun K. Kuchibhotla
Alessandro Rinaldo
66
19
0
28 Sep 2020
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/n1/\sqrt{n}1/n​ Rates via Implicit Smoothing
Miles E. Lopes
62
20
0
13 Sep 2020
Inference for high-dimensional exchangeable arrays
Inference for high-dimensional exchangeable arrays
Harold D. Chiang
Kengo Kato
Yuya Sasaki
93
12
0
10 Sep 2020
Large-dimensional Central Limit Theorem with Fourth-moment Error Bounds
  on Convex Sets and Balls
Large-dimensional Central Limit Theorem with Fourth-moment Error Bounds on Convex Sets and Balls
Xiao Fang
Yuta Koike
88
10
0
01 Sep 2020
Improved Central Limit Theorem and bootstrap approximations in high
  dimensions
Improved Central Limit Theorem and bootstrap approximations in high dimensions
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
Yuta Koike
101
74
0
22 Dec 2019
Berry-Esseen bounds for Chernoff-type non-standard asymptotics in
  isotonic regression
Berry-Esseen bounds for Chernoff-type non-standard asymptotics in isotonic regression
Q. Han
Kengo Kato
26
6
0
21 Oct 2019
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