Stochastic regularization of linear equations and the realization of Gaussian fields
Mauro Piccioni and
Massimo Roma
Journal of Multivariate Analysis, 1990, vol. 33, issue 1, 143-150
Abstract:
The variational representation of the conditional expectation of a Gaussian signal X given observations Y corrupted by independent white noise is investigated in the general infinite-dimensional setting. Under Hilbert-Schmidt type assumptions it is shown that the filter can be realized on sample configurations Y[omega] as the extension by continuity of the mapping that gives the solution of a related variational problem.
Keywords: regularization; of; ill-posed; problems; Gaussian; fields; Hilbert-Schmidt; operators; robust; filtering (search for similar items in EconPapers)
Date: 1990
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0047-259X(90)90010-F
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:33:y:1990:i:1:p:143-150
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 ().