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Teoriya Veroyatnostei i ee Primeneniya, 1995, Volume 40, Issue 1, Pages 183–188 (Mi tvp3330)  
Short Communications

Continuous dependence of final distributions on transition probabilities of an asymptotically Markov process

E. A. Sataev

Obninsk State Technical University for Nuclear Power Engineering
Full-text PDF (332 kB)
Abstract: The paper proves that for the asymptotically Markov process (which was introduced by the author in [1]) the final distributions continuously depend on the transition probabilities.
Keywords: asymptotically Markov process, transition probabilities, final distributions.
Received: 08.05.1995
English version:
Theory of Probability and its Applications, 1995, Volume 40, Issue 1, Pages 186–191
DOI: https://doi.org/10.1137/1140020
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: E. A. Sataev, “Continuous dependence of final distributions on transition probabilities of an asymptotically Markov process”, Teor. Veroyatnost. i Primenen., 40:1 (1995), 183–188; Theory Probab. Appl., 40:1 (1995), 186–191
Citation in format AMSBIB
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\by E.~A.~Sataev
\paper Continuous dependence of final distributions on transition probabilities of an asymptotically Markov process
\jour Teor. Veroyatnost. i Primenen.
\yr 1995
\vol 40
\issue 1
\pages 183--188
\mathnet{http://mi.mathnet.ru/tvp3330}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=1346742}
\zmath{https://zbmath.org/?q=an:0840.60080}
\transl
\jour Theory Probab. Appl.
\yr 1995
\vol 40
\issue 1
\pages 186--191
\crossref{https://doi.org/10.1137/1140020}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=A1996UH07100020}
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    		Теория вероятностей и ее применения Theory of Probability and its Applications
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