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Central Limit Theorems and Bootstrap in High Dimensions

Central Limit Theorems and Bootstrap in High Dimensions

11 December 2014
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
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Papers citing "Central Limit Theorems and Bootstrap in High Dimensions"

5 / 5 papers shown
Title
Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning
Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning
S. Samsonov
Eric Moulines
Qi-Man Shao
Zhuo-Song Zhang
Alexey Naumov
63
5
0
26 May 2024
A projection pursuit framework for testing general high-dimensional
  hypothesis
A projection pursuit framework for testing general high-dimensional hypothesis
Yinchu Zhu
Jelena Bradic
39
13
0
02 May 2017
Comparison and anti-concentration bounds for maxima of Gaussian random
  vectors
Comparison and anti-concentration bounds for maxima of Gaussian random vectors
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
88
224
0
21 Jan 2013
Gaussian approximations and multiplier bootstrap for maxima of sums of
  high-dimensional random vectors
Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
78
506
0
31 Dec 2012
Gaussian approximation of suprema of empirical processes
Gaussian approximation of suprema of empirical processes
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
90
296
0
31 Dec 2012
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