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arXiv math/0603745math.PR
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由马尔可夫聚结子导出的可交换划分

Exchangeable partitions derived from Markovian coalescents

Rui Dong, Alexander Gnedin, Jim Pitman

摘要:

金曼推导出了描述中性突变模型中遗传变异的随机分区的尤恩斯抽样公式,该模型由沿着由简单合并过程控制的下降线的突变的泊松过程定义,并观察到类似的方法可以应用于更复杂的模型。M{<$}hle描述了递归确定的泛化的尤恩斯抽样公式的情况下,当线的下降是由$Λ$ -聚结,这允许多个合并。在这里,我们表明,$Λ$ -聚结的过渡率的基本整表示表示是强制采样一致性下更一般的假设聚结过程。利用与再生分区结构理论的类比,我们提供了相关的分区结构的离散时间马尔可夫链的各种表征。

英文摘要:

Kingman derived the Ewens sampling formula for random partitions describing the genetic variation in a neutral mutation model defined by a Poisson process of mutations along lines of descent governed by a simple coalescent process, and observed that similar methods could be applied to more complex models. M{ö}hle described the recursion which determines the generalization of the Ewens sampling formula in the situation when the lines of descent are governed by a $Λ$-coalescent, which allows multiple mergers. Here we show that the basic integral representation of transition rates for the $Λ$-coalescent is forced by sampling consistency under more general assumptions on the coalescent process. Exploiting an analogy with the theory of regenerative partition structures, we provide various characterizations of the associated partition structures in terms of discrete-time Markov chains.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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