Titlebook: Quasi-Stationary Distributions; Markov Chains, Diffu Pierre Collet,Servet Martínez,Jaime San Martín Book 2013 Springer-Verlag Berlin Heidel

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Markov Chains on Countable Spaces,ectral decomposition as a limit of finite truncations. For a monotone process, the exponential rate of convergence and the stationary distribution of the ergodic process are compared with the exponential rate of survival and the QSD, respectively, when we impose killing; this is done in Sect.?..

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1431-7028 plementary material: .Main concepts of quasi-stationary distributions (QSDs) for killed processes are the focus of the present volume. For diffusions, the killing is at the boundary and for dynamical systems there is a trap. The authors present the QSDs as the ones that allow describing the long-ter

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Quasi-Stationary Distributions: General Results,f Sect.?., we show that the killing time and the state of killing are independent random variables. In Theorem?2.11 of Sect.?., we give a theorem of existence of a QSD in a topological setting without any assumption on compactness or spectral properties.

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978-3-642-42888-3Springer-Verlag Berlin Heidelberg 2013

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Quasi-Stationary Distributions978-3-642-33131-2Series ISSN 1431-7028

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Probability and Its Applicationshttp://image.papertrans.cn/q/image/781616.jpg

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