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2001.05056
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Large sample autocovariance matrices of linear processes with heavy tails
14 January 2020
Johannes Heiny
T. Mikosch
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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
Johannes Heiny
T. Mikosch
43
21
0
30 Jan 2020
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
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
Z. Bai
Chen Wang
51
13
0
11 Mar 2014
Strong limit of the extreme eigenvalues of a symmetrized auto-cross covariance matrix
Chen Wang
B. Jin
Z. Bai
K. Nair
Matthew Harding
50
11
0
08 Dec 2013
On the Marčenko-Pastur law for linear time series
Haoyang Liu
Alexander Aue
D. Paul
59
68
0
27 Oct 2013
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
Richard A. Davis
Oliver Pfaffel
R. Stelzer
101
37
0
27 Aug 2011
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