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Teoriya Veroyatnostei i ee Primeneniya, 1993, Volume 38, Issue 3, Pages 481–490 (Mi tvp3960)  

This article is cited in 1 scientific paper (total in 1 paper)

Canonical factorization of Gaussian covariance operators and some of its applications

N. N. Vakhania

Muskhelishvili Institute of Computational Mathematics
Abstract: This paper contains a systematic approach to the analysis of Gaussian random elements with values in Banach spaces. This approach is based on the idea of canonical factorization of Gaussian covariance operators.
Keywords: random elements with values in a Banach space, covariance operators and their canonical factorization, admissible translations, dichotomy of Gaussian distributions.
Received: 26.12.1991
English version:
Theory of Probability and its Applications, 1993, Volume 38, Issue 3, Pages 498–505
DOI: https://doi.org/10.1137/1138046
Bibliographic databases:
Language: Russian
Citation: N. N. Vakhania, “Canonical factorization of Gaussian covariance operators and some of its applications”, Teor. Veroyatnost. i Primenen., 38:3 (1993), 481–490; Theory Probab. Appl., 38:3 (1993), 498–505
Citation in format AMSBIB
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\by N.~N.~Vakhania
\paper Canonical factorization of Gaussian covariance operators and some of its applications
\jour Teor. Veroyatnost. i Primenen.
\yr 1993
\vol 38
\issue 3
\pages 481--490
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\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=1404659}
\zmath{https://zbmath.org/?q=an:0815.60004}
\transl
\jour Theory Probab. Appl.
\yr 1993
\vol 38
\issue 3
\pages 498--505
\crossref{https://doi.org/10.1137/1138046}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=A1993PJ74300009}
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  • https://www.mathnet.ru/eng/tvp/v38/i3/p481
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Теория вероятностей и ее применения Theory of Probability and its Applications
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