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Eigenvalues and eigenvectors of heavy-tailed sample covariance matrices with general growth rates: the iid case.
Johannes Heiny,
Thomas Valentin Mikosch
Department of Mathematical Sciences
5
Citations (Scopus)
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Dive into the research topics of 'Eigenvalues and eigenvectors of heavy-tailed sample covariance matrices with general growth rates: the iid case.'. Together they form a unique fingerprint.
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Mathematics
Asymptotic Behavior
19%
Autocovariance
35%
Canonical Basis
34%
Converge
33%
Directly proportional
23%
Eigenvalue
16%
Eigenvalues and Eigenvectors
91%
Eigenvector
24%
Imply
16%
Infinity
18%
Inhomogeneous Poisson Process
40%
Large Deviations
26%
Largest Eigenvalue
88%
Moment
18%
Point Process
27%
Polynomial
14%
Random variable
18%
Regular Variation
33%
Sample Covariance Matrix
100%
Sample Size
20%
Time series
47%
Valid
19%
Weak Convergence
25%
Engineering & Materials Science
Covariance matrix
82%
Eigenvalues and eigenfunctions
84%
Polynomials
20%
Random variables
27%
Time series
46%