ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1508.07036
  4. Cited By
Gaussian Approximation for High Dimensional Time Series

Gaussian Approximation for High Dimensional Time Series

27 August 2015
Danna Zhang
W. Wu
ArXivPDFHTML

Papers citing "Gaussian Approximation for High Dimensional Time Series"

13 / 13 papers shown
Title
A remark on moment-dependent phase transitions in high-dimensional
  Gaussian approximations
A remark on moment-dependent phase transitions in high-dimensional Gaussian approximations
Anders Bredahl Kock
David Preinerstorfer
26
3
0
19 Oct 2023
Sparse High-Dimensional Vector Autoregressive Bootstrap
Sparse High-Dimensional Vector Autoregressive Bootstrap
R. Adámek
Stephan Smeekes
Ines Wilms
26
1
0
02 Feb 2023
Testing Many Zero Restrictions in a High Dimensional Linear Regression
  Setting
Testing Many Zero Restrictions in a High Dimensional Linear Regression Setting
Jonathan B. Hill
29
0
0
22 Jan 2023
A Global Wavelet Based Bootstrapped Test of Covariance Stationarity
A Global Wavelet Based Bootstrapped Test of Covariance Stationarity
Jonathan B. Hill
Tianqi Li
16
1
0
25 Oct 2022
High-dimensional Data Bootstrap
High-dimensional Data Bootstrap
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
Yuta Koike
29
28
0
19 May 2022
Graphical models for nonstationary time series
Graphical models for nonstationary time series
Sumanta Basu
S. Subba Rao
62
6
0
17 Sep 2021
Wavelet eigenvalue regression in high dimensions
Wavelet eigenvalue regression in high dimensions
P. Abry
B. C. Boniece
G. Didier
H. Wendt
17
4
0
09 Aug 2021
Inference for high-dimensional exchangeable arrays
Inference for high-dimensional exchangeable arrays
Harold D. Chiang
Kengo Kato
Yuya Sasaki
32
12
0
10 Sep 2020
Lasso Inference for High-Dimensional Time Series
Lasso Inference for High-Dimensional Time Series
R. Adámek
Stephan Smeekes
Ines Wilms
AI4TS
14
33
0
21 Jul 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
30
74
0
22 Dec 2019
High-Dimensional Econometrics and Regularized GMM
High-Dimensional Econometrics and Regularized GMM
A. Belloni
Victor Chernozhukov
Denis Chetverikov
Christian B. Hansen
Kengo Kato
24
67
0
05 Jun 2018
Finite sample change point inference and identification for
  high-dimensional mean vectors
Finite sample change point inference and identification for high-dimensional mean vectors
Mengjia Yu
Xiaohui Chen
14
37
0
23 Nov 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
55
221
0
21 Jan 2013
1