Limiting spectral distribution of normalized sample covariance matrices with p/n→0
We consider a type of normalized sample covariance matrix without independence in columns, and derive the limiting spectral distribution when the number of variables p and the sample size n satisfy that p→∞, n→∞, and p/n→0. This result is a supplement to the corresponding result under the case that p/n→c∈(0,∞), which was obtained by Bai and Zhou (2008).
Year of publication: |
2013
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Authors: | Xie, Junshan |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 83.2013, 2, p. 543-550
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Publisher: |
Elsevier |
Subject: | Normalized sample covariance matrices | Limiting spectral distribution | Stieltjes transform |
Saved in:
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