On the eigenvalues of the spatial sign covariance matrix in more than two dimensions

Alexander Dürre, David E. Tyler, Daniel Vogel

Research output: Contribution to journalArticle

12 Citations (Scopus)
6 Downloads (Pure)

Abstract

We gather several results on the eigenvalues of the spatial sign covariance matrix of an elliptical distribution. It is shown that the eigenvalues are a one-to-one function of the eigenvalues of the shape matrix and that they are closer together than the latter. We further provide a one-dimensional integral representation of the eigenvalues, which facilitates their numerical computation.
Original languageEnglish
Pages (from-to)80-85
Number of pages6
JournalStatistics and Probability Letters
Volume111
Early online date21 Jan 2016
DOIs
Publication statusPublished - Apr 2016

Bibliographical note

Acknowledgments
Alexander Dürre was supported in part by the Collaborative Research Grant 823 of the German Research Foundation. David E. Tyler was supported in part by the National Science Foundation grant DMS-1407751. A visit of Daniel Vogel to David E. Tyler was supported by a travel grant from the Scottish Universities Physics Alliance. The authors are grateful to the editors and referees for their constructive comments.

Keywords

  • 62H12
  • 62G20
  • 62H11
  • Elliptical distribution
  • Spatial Kendall’s tau matrix
  • spatial sign covariance matrix

Fingerprint

Dive into the research topics of 'On the eigenvalues of the spatial sign covariance matrix in more than two dimensions'. Together they form a unique fingerprint.

Cite this