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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Bibliographic Details
Main Authors: Bai, Zhidong, Hu, Jiang, Pan, Guangming, Zhou, Wang
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2015
Subjects:
CLT
LSD
Online Access:https://hdl.handle.net/10356/80954
http://hdl.handle.net/10220/38995
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Institution: Nanyang Technological University
Language: English