Gamma-Dirichlet Structure and Two Classes of Measure-valued Processes
Shui Feng, Fang Xu

TL;DR
This paper explores the Gamma-Dirichlet structure linking gamma and Dirichlet processes, introduces new results on large deviations and quasi-invariance, and examines their roles as reversible measures in measure-valued processes.
Contribution
It provides new insights into the Gamma-Dirichlet structure, including large deviations, quasi-invariance, and the dynamical relation between measure-valued processes.
Findings
Derived the transition function of the Fleming-Viot process from the branching diffusion.
Established the reversibility of the measure-valued branching diffusion.
Provided new results on large deviations and quasi-invariance of the gamma process.
Abstract
The Gamma-Dirichlet structure corresponds to the decomposition of the gamma process into the independent product of a gamma random variable and a Dirichlet process. This structure allows us to study the properties of the Dirichlet process through the gamma process and vice versa. In this article, we begin with a brief review of existing results concerning the Gamma-Dirichlet structure. New results are obtained for the large deviations of the jump sizes of the gamma process and the quasi-invariance of the two-parameter Poisson-Dirichlet distribution. The laws of the gamma process and the Dirichlet process are the respective reversible measures of the measure-valued branching diffusion with immigration and the Fleming-Viot process with parent independent mutation. We view the relation between these two classes of measure-valued processes as the dynamical Gamma-Dirichlet structure. Other…
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Taxonomy
TopicsBayesian Methods and Mixture Models · Functional Equations Stability Results · Mathematical Dynamics and Fractals
