Weak lumpability and pseudo-stationarity of finite markov chains

J. Ledoux, P. Leguesdron
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引用次数: 2

Abstract

We consider the question of whether a function of a finite-state Markov chain is also Markovian, that is whether the chain is lumpable with respect to the partition determined by the function. We explore how an initial distribution with respect to which the chain is lumpable may differ from a pseudo-stationary initial distribution. Our results give insight into Peng's condition under which the Chapman-Kolmogorov equation implies that the lumped chain is Markovian. We illustrate these ideas by treating the question of whether the absorption time of a finite-state absorbing Markov chain is geometric
有限马尔可夫链的弱集总性和伪平稳性
我们考虑有限状态马尔可夫链的函数是否也是马尔可夫的问题,即该链对于由该函数决定的配分是否可分割。我们探讨了一个初始分布是如何与一个伪平稳初始分布不同的。我们的结果深入了解了Peng的条件,在该条件下,Chapman-Kolmogorov方程意味着集总链是马尔可夫的。我们通过处理有限态吸收马尔可夫链的吸收时间是否为几何的问题来说明这些思想
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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