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Zbl 0858.60067
Hart, A.G.; Pollett, P.K.
Direct analytical methods for determining quasistationary distributions for continuous-time Markov chains.
(English)
[A] Heyde, C. C. (ed.) et al., Athens conference on applied probability and time series analysis, Athens, Greece, March 22--26, 1995. Vol. I: Applied probability. In honor of J. M. Gani. Berlin: Springer. Lect. Notes Stat., Springer-Verlag. 114, 116-126 (1996). ISBN 0-387-94788-4

Summary: We shall be concerned with the problem of determining the quasistationary distributions of an absorbing continuous-time Markov chain directly from the transition-rate matrix $Q$. We shall present conditions which ensure that any finite $\mu$-invariant probability measure for $Q$ is a quasistationary distribution. Our results will be illustrated with reference to birth and death processes.
MSC 2000:
*60J27 Markov chains with continuous parameter

Keywords: quasistationary distributions; Markov chain; $\mu$-invariant probability measure; birth and death processes

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Scientific prize winners of the ICM 2010
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Lie groups, physics and geometry. An introduction for physicists, engineers and chemists.

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