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首页> 外文期刊>Bernoulli: official journal of the Bernoulli Society for Mathematical Statistics and Probability >Verifiable conditions for the irreducibility and aperiodicity of Markov chains by analyzing underlying deterministic models
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Verifiable conditions for the irreducibility and aperiodicity of Markov chains by analyzing underlying deterministic models

机译:通过分析潜在的确定性模型,Markov链条的不可可动化和非积分性的可验证条件

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摘要

We consider Markov chains that obey the following general non-linear state space model: Phi(k)(+)(1) = F (Phi(k), alpha (Phi(k), U-k+(1))) where the function F is C-1 while alpha is typically discontinuous and {U-k : k is an element of Z(0)} is an independent and identically distributed process. We assume that for all x, the random variable a (x, U-1) admits a density p(x) such that (x, w) bar right arrow p(x) (w) is lower semi-continuous.
机译:我们认为Markov链条遵守以下一般非线性状态空间模型:phi(k)(+)(1)= f(phi(k),alpha(phi(k),u-k +(1))) 函数f是C-1,而alpha通常是不连续的,并且{UK:k是z(& 0)}是一个独立的和相同的分布过程。 我们假设对于所有X,随机变量A(x,u-1)承认密度p(x),使得(x,w)条右箭头p(x)(w)较低半连续。

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