English

Large deviations associated with Poisson--Dirichlet distribution and Ewens sampling formula

Probability 2007-11-06 v1

Abstract

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 θ\theta approaches infinity. The motivation for these results comes from a desire of understanding the exact meaning of θ\theta going to infinity. In terms of the law of large numbers and the central limit theorem, the limiting procedure of θ\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 θ\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.

Keywords

Cite

@article{arxiv.0710.5577,
  title  = {Large deviations associated with Poisson--Dirichlet distribution and Ewens sampling formula},
  author = {Shui Feng},
  journal= {arXiv preprint arXiv:0710.5577},
  year   = {2007}
}

Comments

Published in at http://dx.doi.org/10.1214/105051607000000230 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)

R2 v1 2026-06-21T09:37:49.176Z