Convergence of the empirical spectral distribution function of Beta matrices
Let Bn=Sn(Sn+αnTN)−1, where Sn and TN are two independent sample covariance matrices with dimension p and sample sizes n and N, respectively. This is the so-called Beta matrix. In this paper, we focus on the limiting spectral distribution function and the central limit theorem of linear spectral sta...
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Main Authors: | , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2015
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/80954 http://hdl.handle.net/10220/38995 |
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Institution: | Nanyang Technological University |
Language: | English |
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