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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

24 August 2016
Johannes Heiny
T. Mikosch
ArXiv (abs)PDFHTML

Papers citing "Eigenvalues and eigenvectors of heavy-tailed sample covariance matrices with general growth rates: the iid case"

6 / 6 papers shown
Title
Local Tail Statistics of Heavy-Tailed Random Matrix Ensembles with
  Unitary Invariance
Local Tail Statistics of Heavy-Tailed Random Matrix Ensembles with Unitary Invariance
M. Kieburg
A. Monteleone
37
2
0
01 Mar 2021
Limiting distributions for eigenvalues of sample correlation matrices
  from heavy-tailed populations
Limiting distributions for eigenvalues of sample correlation matrices from heavy-tailed populations
Johannes Heiny
Jianfeng Yao
66
15
0
08 Mar 2020
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
62
22
0
30 Jan 2020
Large sample autocovariance matrices of linear processes with heavy
  tails
Large sample autocovariance matrices of linear processes with heavy tails
Johannes Heiny
T. Mikosch
70
6
0
14 Jan 2020
The eigenstructure of the sample covariance matrices of high-dimensional
  stochastic volatility models with heavy tails
The eigenstructure of the sample covariance matrices of high-dimensional stochastic volatility models with heavy tails
Johannes Heiny
T. Mikosch
74
12
0
14 Jan 2020
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
60
25
0
26 Apr 2016
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