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arXiv 1602.08382math.PR
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Pitman-Yor过程的极限定理

Limit Theorems Associated With The Pitman-Yor Process

Shui Feng, Fuqing Gao, Youzhou Zhou

摘要:

Pitman-Yor过程是一个随机离散测度。随机重量或质量遵循参数为$0<α<1, θ>-α$的双参数泊松-狄利克雷分布。参数$α$和$θ$分别对应于稳定分量和伽马分量。原子的分布由概率$ν$给出。本文考虑Pitman-Yor过程和两参数Poisson-Dirichlet分布的极限定理。这些原则包括大数定律、波动和中等或大偏差原则。限制过程涉及$α$趋于零或1。它们在遗传学和物理学中自然产生,例如爆炸性分支过程的渐进聚并时间和无序系统广义随机能量模型的近似。

英文摘要:

The Pitman-Yor process is a random discrete measure. The random weights or masses follow the two-parameter Poisson-Dirichlet distribution with parameters $0<α<1, θ>-α$. The parameters $α$ and $θ$ correspond to the stable and gamma components, respectively. The distribution of atoms is given by a probability $ν$. In this article we consider the limit theorems for the Pitman-Yor process and the two-parameter Poisson-Dirichlet distribution. These include law of large numbers, fluctuations, and moderate or large deviation principles. The limiting procedures involve either $α$ tends to zero or one. They arise naturally in genetics and physics such as the asymptotic coalescence time for explosive branching process and the approximation to generalized random energy model for disordered system.

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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