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. 0911.3796
  4. Cited By
Break detection in the covariance structure of multivariate time series
  models

Break detection in the covariance structure of multivariate time series models

19 November 2009
Alexander Aue
Siegfried Hormann
Lajos Horváth
M. Reimherr
ArXivPDFHTML

Papers citing "Break detection in the covariance structure of multivariate time series models"

14 / 14 papers shown
Title
Minimax rates in variance and covariance changepoint testing
Minimax rates in variance and covariance changepoint testing
Per August Jarval Moen
40
0
0
13 May 2024
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
Optimal Change-point Testing for High-dimensional Linear Models with
  Temporal Dependence
Optimal Change-point Testing for High-dimensional Linear Models with Temporal Dependence
Daren Wang
Zifeng Zhao
38
6
0
08 May 2022
Multiple Change Point Detection in Structured VAR Models: the VARDetect
  R Package
Multiple Change Point Detection in Structured VAR Models: the VARDetect R Package
Peiliang Bai
Yue Bai
Abolfazl Safikhani
George Michailidis
34
1
0
23 May 2021
Minimax rates in sparse, high-dimensional changepoint detection
Minimax rates in sparse, high-dimensional changepoint detection
Haoyang Liu
Chao Gao
R. Samworth
24
46
0
23 Jul 2019
Bivariate FCLT for the Sample Quantile and Measures of Dispersion for
  Augmented GARCH($p$,$q$) processes
Bivariate FCLT for the Sample Quantile and Measures of Dispersion for Augmented GARCH(ppp,qqq) processes
M. Brautigam
Marie Kratz
93
1
0
21 Jun 2019
Inference for Change Points in High Dimensional Data via
  Self-Normalization
Inference for Change Points in High Dimensional Data via Self-Normalization
Runmin Wang
Changbo Zhu
S. Volgushev
Xiaofeng Shao
31
34
0
21 May 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
21
10
0
06 Apr 2019
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
27
37
0
23 Nov 2017
High-dimensional changepoint estimation via sparse projection
High-dimensional changepoint estimation via sparse projection
Tengyao Wang
R. Samworth
AI4TS
27
229
0
20 Jun 2016
Detecting changes in Hilbert space data based on "repeated" and
  change-aligned principal components
Detecting changes in Hilbert space data based on "repeated" and change-aligned principal components
Leonid Torgovitski
12
10
0
24 Sep 2015
On the asymptotic normality of kernel estimators of the long run
  covariance of functional time series
On the asymptotic normality of kernel estimators of the long run covariance of functional time series
I. Berkes
Lajos Horváth
Gregory Rice
42
22
0
02 Mar 2015
Efficiency of change point tests in high dimensional settings
Efficiency of change point tests in high dimensional settings
J. Aston
Claudia Kirch
30
15
0
05 Sep 2014
A fluctuation test for constant Spearman's rho with nuisance-free limit
  distribution
A fluctuation test for constant Spearman's rho with nuisance-free limit distribution
Dominik Wied
H. Dehling
M. Kampen
D. Vogel
44
30
0
22 Jun 2012
1