Large deviations associated with poisson-dirichlet distribution and ewens sampling formula

成果类型:
Article
署名作者:
Feng, Shui
署名单位:
McMaster University
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/105051607000000230
发表日期:
2007
页码:
1570-1595
关键词:
random discrete-distributions alleles diffusion-model fleming-viot process neutral-alleles selection Mutation size
摘要:
Several results of large deviations are obtained for distributions that are associated with the Poisson-Dirichlet distribution and the Ewens sampling formula when the parameter theta approaches infinity. The motivation for these results comes from a desire of understanding the exact meaning of theta going to infinity. In terms of the law of large numbers and the central limit theorem, the limiting procedure of theta going to infinity in a Poisson-Dirichlet distribution corresponds to a finite allele model where the mutation rate per individual is fixed and the number of alleles going to infinity. We call this the finite allele approximation. The first main result of this article is concerned with the relation between this finite allele approximation and the Poisson-Dirichlet distribution in terms of large deviations. Large theta can also be viewed as a limiting procedure of the effective population size going to infinity. In the second result a comparison is done between the sample size and the effective population size based on the Ewens sampling formula.