A Markov chain associated with the minimal quasi-stationary distribution of birth–death chains

Author:

Martínez Servet,Vares Maria Eulália

Abstract

We show that if the limiting conditional distribution for an absorbed birth–death chain exists, then the chain conditioned to non-absorption converges to a Markov chain with transition probabilities given by the matrix associated with the minimal quasi-stationary distribution.

Publisher

Cambridge University Press (CUP)

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Birth-and-Death Chains;Quasi-Stationary Distributions;2013

2. Quasi-Stationary Phenomena in Nonlinearly Perturbed Stochastic Systems;de Gruyter Expositions in Mathematics;2008-01-16

3. Weak convergence of conditioned birth-death processes in discrete time;Journal of Applied Probability;1997-03

4. Weak convergence of conditioned birth-death processes in discrete time;Journal of Applied Probability;1997-03

5. Open Billiards: Invariant and Conditionally Iinvariant Probabilities on Cantor Sets;SIAM Journal on Applied Mathematics;1996-04

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