Finite non-homogeneous Markov chains: Asymptotic behaviour

Author:

Cohn Harry

Abstract

The paper is concerned with aspects of the behaviour of the products of finite stochastic matrices, the methods used in the proofs being of a probabilistic nature. The main result of the paper (Theorem 1) presents a general picture of the asymptotic behaviour of the transition probabilities between various groups of states. A unified treatment of some results of non-homogeneous Markov chain theory pertaining to weak ergodicity is then given.

Publisher

Cambridge University Press (CUP)

Subject

Applied Mathematics,Statistics and Probability

Cited by 6 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. Bibliography;Semi-Markov Migration Models for Credit Risk;2017-05-26

2. Tail events of simulated annealing Markov chains;Journal of Applied Probability;1995-12

3. Convergence of nonhomogeneous stochastic chains with countable states: An application to measures on semigroups;Probability Measures on Groups;1982

4. On a paper by Doeblin on non-homogeneous Markov chains;Advances in Applied Probability;1981-06

5. Coefficients of ergodicity: structure and applications;Advances in Applied Probability;1979-09

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