Dual process in the two-parameter Poisson–Dirichlet diffusion

The two-parameter Poisson–Dirichlet diffusion takes values in the infinite ordered simplex and extends the celebrated infinitely-many-neutral-alleles model, having a two-parameter Poisson–Dirichlet stationary distribution.Here we identify a dual process for this diffusion and obtain its transition probabilities. The dual is shown to be given by Kingman’s coalescent with mutation, conditional on a given configuration of leaves. Interestingly, the dual depends on the additional parameter of the stationary distribution only through the test functions and not through the transition rates. After discussing the sampling probabilities of a two-parameter Poisson–Dirichlet partition drawn conditionally on another partition, we use these notions together with the dual process to derive the transition density of the diffusion. Our derivation provides a new probabilistic proof of this result, leveraging on an extension of Pitman’s Pólya urn scheme, whereby the urn is split after a finite number of steps and two urns are run independently onwards. The proof strategy exemplifies the power of duality and could be exported to other models where a dual is available.

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Publication Details

Journal
Stochastic Processes and their Applications
Published
2024-10-05
DOI
https://doi.org/10.1016/j.spa.2024.104500
Citations
1
Primary Topic
Stochastic processes and statistical mechanics
Type
article
Field-Weighted Citation Impact
0.89

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article

Dual process in the two-parameter Poisson–Dirichlet diffusion

Matteo Ruggiero, Robert Griffiths, Youzhou Zhou, Dario Spanò
1 citations
Stochastic Processes and their Applications
Stochastic processes and statistical mechanics
0.89
article

Dual process in the two-parameter Poisson–Dirichlet diffusion

Matteo Ruggiero, Robert Griffiths, Youzhou Zhou, Dario Spanò
article en
1 citations

Abstract

The two-parameter Poisson–Dirichlet diffusion takes values in the infinite ordered simplex and extends the celebrated infinitely-many-neutral-alleles model, having a two-parameter Poisson–Dirichlet stationary distribution.Here we identify a dual process for this diffusion and obtain its transition probabilities. The dual is shown to be given by Kingman’s coalescent with mutation, conditional on a given configuration of leaves. Interestingly, the dual depends on the additional parameter of the stationary distribution only through the test functions and not through the transition rates. After discussing the sampling probabilities of a two-parameter Poisson–Dirichlet partition drawn conditionally on another partition, we use these notions together with the dual process to derive the transition density of the diffusion. Our derivation provides a new probabilistic proof of this result, leveraging on an extension of Pitman’s Pólya urn scheme, whereby the urn is split after a finite number of steps and two urns are run independently onwards. The proof strategy exemplifies the power of duality and could be exported to other models where a dual is available.

Stochastic Processes and their ApplicationsVol. 179
Collegio Carlo Alberto (IT), University of Warwick (GB), Monash University (AU), Xi’an Jiaotong-Liverpool University (CN)
European Commission, National Natural Science Foundation of China, Ministero dell’Istruzione, dell’Università e della Ricerca, Ministero dell'Università e della Ricerca
Openalex Percentile: Top 28%
Stochastic processes and statistical mechanics
0.89
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Dual process in the two-parameter Poisson–Dirichlet diffusion — Matteo Ruggiero, Robert Griffiths, et al. · Stochastic Processes and their Applications (2024) | TGRS Research Map | TGRS