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. 2001.05056
  4. Cited By
Large sample autocovariance matrices of linear processes with heavy
  tails

Large sample autocovariance matrices of linear processes with heavy tails

14 January 2020
Johannes Heiny
T. Mikosch
ArXiv (abs)PDFHTML

Papers citing "Large sample autocovariance matrices of linear processes with heavy tails"

8 / 8 papers shown
Title
Almost sure convergence of the largest and smallest eigenvalues of
  high-dimensional sample correlation matrices
Almost sure convergence of the largest and smallest eigenvalues of high-dimensional sample correlation matrices
Johannes Heiny
T. Mikosch
45
21
0
30 Jan 2020
Eigenvalues and eigenvectors of heavy-tailed sample covariance matrices
  with general growth rates: the iid case
Eigenvalues and eigenvectors of heavy-tailed sample covariance matrices with general growth rates: the iid case
Johannes Heiny
T. Mikosch
59
24
0
24 Aug 2016
Extreme value analysis for the sample autocovariance matrices of
  heavy-tailed multivariate time series
Extreme value analysis for the sample autocovariance matrices of heavy-tailed multivariate time series
Richard A. Davis
Johannes Heiny
T. Mikosch
Xiao-Yi Xie
45
15
0
26 Apr 2016
A Note on the Limiting Spectral Distribution of a Symmetrized Auto-Cross
  Covariance Matrix
A Note on the Limiting Spectral Distribution of a Symmetrized Auto-Cross Covariance Matrix
Z. Bai
Chen Wang
51
13
0
11 Mar 2014
Strong limit of the extreme eigenvalues of a symmetrized auto-cross
  covariance matrix
Strong limit of the extreme eigenvalues of a symmetrized auto-cross covariance matrix
Chen Wang
B. Jin
Z. Bai
K. Nair
Matthew Harding
52
11
0
08 Dec 2013
On the Marčenko-Pastur law for linear time series
On the Marčenko-Pastur law for linear time series
Haoyang Liu
Alexander Aue
D. Paul
61
68
0
27 Oct 2013
Factor modeling for high-dimensional time series: Inference for the
  number of factors
Factor modeling for high-dimensional time series: Inference for the number of factors
Clifford Lam
Q. Yao
154
484
0
04 Jun 2012
Limit Theory for the largest eigenvalues of sample covariance matrices
  with heavy-tails
Limit Theory for the largest eigenvalues of sample covariance matrices with heavy-tails
Richard A. Davis
Oliver Pfaffel
R. Stelzer
101
37
0
27 Aug 2011
1