Wright-Fisher construction of the two-parameter Poisson-Dirichlet diffusion
Cristina Costantini, Pierpaolo De Blasi, Stewart N. Ethier, Matteo, Ruggiero, Dario Spano

TL;DR
This paper constructs a Wright-Fisher model with a specific migration mechanism that converges to the two-parameter Poisson-Dirichlet diffusion, providing insights into how the second parameter influences population clustering.
Contribution
It introduces a finite-population Wright-Fisher model that converges to the two-parameter Poisson-Dirichlet diffusion, elucidating the role of the second parameter in population dynamics.
Findings
Convergence of scaled finite models to the infinite-dimensional diffusion.
Descending order statistics converge to the Poisson-Dirichlet distribution.
The migration mechanism balances reinforcement and redistribution effects.
Abstract
The two-parameter Poisson--Dirichlet diffusion, introduced in 2009 by Petrov, extends the infinitely-many-neutral-alleles diffusion model, related to Kingman's one-parameter Poisson--Dirichlet distribution and to certain Fleming--Viot processes. The additional parameter has been shown to regulate the clustering structure of the population, but is yet to be fully understood in the way it governs the reproductive process. Here we shed some light on these dynamics by formulating a -allele Wright--Fisher model for a population of size , involving a uniform mutation pattern and a specific state-dependent migration mechanism. Suitably scaled, this process converges in distribution to a -dimensional diffusion process as . Moreover, the descending order statistics of the -dimensional diffusion converge in distribution to the two-parameter Poisson--Dirichlet diffusion as…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
