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Teoriya Veroyatnostei i ee Primeneniya, 1996, Volume 41, Issue 4, Pages 869–877
DOI: https://doi.org/10.4213/tvp3240
(Mi tvp3240)
 

This article is cited in 4 scientific papers (total in 4 papers)

Short Communications

On the symmetric $\sigma$-algebra of a stationary Harris Markov process

Z. I. Bezhaevaa, V. I. Oseledetsb

a Moscow State Institute of Electronics and Mathematics
b M. V. Lomonosov Moscow State University, Faculty of Mechanics and Mathematics
Full-text PDF (513 kB) Citations (4)
Received: 05.08.1994
English version:
Theory of Probability and its Applications, 1997, Volume 41, Issue 4, Pages 741–748
DOI: https://doi.org/10.1137/TPRBAU000041000004000741000001
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: Z. I. Bezhaeva, V. I. Oseledets, “On the symmetric $\sigma$-algebra of a stationary Harris Markov process”, Teor. Veroyatnost. i Primenen., 41:4 (1996), 869–877; Theory Probab. Appl., 41:4 (1997), 741–748
Citation in format AMSBIB
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\by Z.~I.~Bezhaeva, V.~I.~Oseledets
\paper On the symmetric $\sigma$-algebra of a~stationary Harris Markov process
\jour Teor. Veroyatnost. i Primenen.
\yr 1996
\vol 41
\issue 4
\pages 869--877
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\crossref{https://doi.org/10.4213/tvp3240}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=1687093}
\zmath{https://zbmath.org/?q=an:0905.60040}
\transl
\jour Theory Probab. Appl.
\yr 1997
\vol 41
\issue 4
\pages 741--748
\crossref{https://doi.org/10.1137/TPRBAU000041000004000741000001}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=000071926900010}
Linking options:
  • https://www.mathnet.ru/eng/tvp3240
  • https://doi.org/10.4213/tvp3240
  • https://www.mathnet.ru/eng/tvp/v41/i4/p869
  • This publication is cited in the following 4 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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    Abstract page:281
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