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Jackknife multiplier bootstrap: finite sample approximations to the
  $U$-process supremum with applications
v1v2v3v4 (latest)

Jackknife multiplier bootstrap: finite sample approximations to the UUU-process supremum with applications

9 August 2017
Xiaohui Chen
Kengo Kato
ArXiv (abs)PDFHTML

Papers citing "Jackknife multiplier bootstrap: finite sample approximations to the $U$-process supremum with applications"

19 / 19 papers shown
Title
Robust Max Statistics for High-Dimensional Inference
Robust Max Statistics for High-Dimensional Inference
Mingshuo Liu
Miles E. Lopes
74
1
0
25 Sep 2024
Uniform Estimation and Inference for Nonparametric Partitioning-Based
  M-Estimators
Uniform Estimation and Inference for Nonparametric Partitioning-Based M-Estimators
Matias D. Cattaneo
Yingjie Feng
Boris Shigida
59
1
0
09 Sep 2024
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
Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn
  Divergence
Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn Divergence
Ziv Goldfeld
Kengo Kato
Gabriel Rioux
Ritwik Sadhu
71
29
0
18 Jul 2022
High-dimensional Data Bootstrap
High-dimensional Data Bootstrap
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
Yuta Koike
87
32
0
19 May 2022
Uniform Inference for Kernel Density Estimators with Dyadic Data
Uniform Inference for Kernel Density Estimators with Dyadic Data
M. D. Cattaneo
Yingjie Feng
W. Underwood
61
7
0
16 Jan 2022
Central limit theorems for high dimensional dependent data
Central limit theorems for high dimensional dependent data
Jinyuan Chang
Xiaohui Chen
Mingcong Wu
61
31
0
27 Apr 2021
Empirical likelihood and uniform convergence rates for dyadic kernel
  density estimation
Empirical likelihood and uniform convergence rates for dyadic kernel density estimation
Harold D. Chiang
Bing Tan
43
2
0
17 Oct 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
Bootstrap inference for quantile-based modal regression
Bootstrap inference for quantile-based modal regression
Tao Zhang
Kengo Kato
D. Ruppert
16
1
0
01 Jun 2020
Stratified incomplete local simplex tests for curvature of nonparametric
  multiple regression
Stratified incomplete local simplex tests for curvature of nonparametric multiple regression
Yanglei Song
Xiaohui Chen
Kengo Kato
83
2
0
20 Mar 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
A Projection Framework for Testing Shape Restrictions That Form Convex
  Cones
A Projection Framework for Testing Shape Restrictions That Form Convex Cones
Z. Fang
Juwon Seo
59
12
0
17 Oct 2019
A robust bootstrap change point test for high-dimensional location
  parameter
A robust bootstrap change point test for high-dimensional location parameter
Mengjia Yu
Xiaohui Chen
75
10
0
06 Apr 2019
High-dimensional central limit theorems for homogeneous sums
High-dimensional central limit theorems for homogeneous sums
Yuta Koike
59
16
0
11 Feb 2019
Gibbs posterior convergence and the thermodynamic formalism
Gibbs posterior convergence and the thermodynamic formalism
K. Mcgoff
S. Mukherjee
A. Nobel
79
10
0
24 Jan 2019
Approximating high-dimensional infinite-order $U$-statistics:
  statistical and computational guarantees
Approximating high-dimensional infinite-order UUU-statistics: statistical and computational guarantees
Yanglei Song
Xiaohui Chen
Kengo Kato
74
27
0
04 Jan 2019
Mixed-normal limit theorems for multiple Skorohod integrals in
  high-dimensions, with application to realized covariance
Mixed-normal limit theorems for multiple Skorohod integrals in high-dimensions, with application to realized covariance
Yuta Koike
66
5
0
13 Jun 2018
Randomized incomplete $U$-statistics in high dimensions
Randomized incomplete UUU-statistics in high dimensions
Xiaohui Chen
Kengo Kato
73
42
0
03 Dec 2017
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