EconPapers    
Economics at your fingertips  
 

Wishart-Laplace distributions associated with matrix quadratic forms

Joe Masaro and Chi Song Wong

Journal of Multivariate Analysis, 2010, vol. 101, issue 5, 1168-1178

Abstract: For a normal random matrix Y with mean zero, necessary and sufficient conditions are obtained for Y'WkY to be Wishart-Laplace distributed and {Y'WkY} to be independent, where each Wk is assumed to be symmetric rather than nonnegative definite.

Keywords: Matrix; quadratic; form; Laplacian; distribution; Wishart; distribution; Jordan; algebras; Multivariate; normal; matrix; Cochran; theorem (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0047-259X(09)00244-9
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jmvana:v:101:y:2010:i:5:p:1168-1178

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Journal of Multivariate Analysis is currently edited by de Leeuw, J.

More articles in Journal of Multivariate Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:jmvana:v:101:y:2010:i:5:p:1168-1178