Abstract
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 η. In this paper we consider the limit theorems for the Pitman-Yor process and the two-parameter Poisson-Dirichlet distribution. These include the law of large numbers, fluctuations, and moderate or large deviation principles. The limiting procedures involve either α tending to 0 or 1. They arise naturally in genetics and physics such as the asymptotic coalescence time for explosive branching process and the approximation to the generalized random energy model for disordered systems.
| Original language | English |
|---|---|
| Pages (from-to) | 581-602 |
| Number of pages | 22 |
| Journal | Advances in Applied Probability |
| Volume | 49 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Jun 2017 |
| Externally published | Yes |
Keywords
- Poisson-Dirichlet distribution
- Yor process
- explosive branching
- large deviation
- phase transition
- random energy model
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