Eigenvalue density of empirical covariance matrix for correlated samples
Z. Burda,
J. Jurkiewicz and
B. Waclaw
Papers from arXiv.org
Abstract:
We describe a method to determine the eigenvalue density of empirical covariance matrix in the presence of correlations between samples. This is a straightforward generalization of the method developed earlier by the authors for uncorrelated samples. The method allows for exact determination of the experimental spectrum for a given covariance matrix and given correlations between samples in the limit of large N and N/T=r=const with N being the number of degrees of freedom and T being the number of samples. We discuss the effect of correlations on several examples.
Date: 2005-08
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Published in Acta Phys. Pol. B36, 2641 (2005)
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:cond-mat/0508451
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