Marčenko-Pastur Law For Tyler'S M-Estimator
Keywords
Covariance estimation; Random matrix theory; Robust statistics
Abstract
This paper studies the limiting behavior of Tyler's M-estimator for the scatter matrix, in the regime that the number of samples n and their dimension p both go to infinity, and p/n converges to a constant y with 0
Publication Date
7-1-2016
Publication Title
Journal of Multivariate Analysis
Volume
149
Number of Pages
114-123
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/j.jmva.2016.03.010
Copyright Status
Unknown
Socpus ID
84966378352 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84966378352
STARS Citation
Zhang, Teng; Cheng, Xiuyuan; and Singer, Amit, "Marčenko-Pastur Law For Tyler'S M-Estimator" (2016). Scopus Export 2015-2019. 2579.
https://stars.library.ucf.edu/scopus2015/2579