The weak and strong Gaussian probabilistic realization problem
C. van Putten and
J. H. van Schuppen
Journal of Multivariate Analysis, 1983, vol. 13, issue 1, 118-137
Abstract:
A classification is given of all [sigma]-algebras that make two given [sigma]-algebras conditionally independent in the case that the [sigma]-algebras are generated by finite dimensional Gaussian random variables. In addition a classification is given of all Gaussian measures that have the conditional independence property and such that restricted to a subspace, they coincide with a given measure.
Keywords: Conditional; independence; Gaussian; random; variables; canonical; variable; representation; sufficient; statistics; stochastic; systems (search for similar items in EconPapers)
Date: 1983
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0047-259X(83)90008-8
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:13:y:1983:i:1:p:118-137
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 ().