An integral characterization of the Dirichlet process
G\"unter Last

TL;DR
This paper introduces a novel integral characterization of the Dirichlet process on general phase spaces, utilizing size-biased sampling to connect with Beta and Poisson-Dirichlet distributions, advancing understanding of these stochastic processes.
Contribution
It provides a new integral characterization of the Dirichlet process and links it with size-biased sampling, Beta distribution, and Poisson-Dirichlet distribution.
Findings
Characterization of the nonsymmetric Beta distribution via size-biased sampling
New integral characterization of the Dirichlet distribution
Marked version of classical Poisson-Dirichlet characterization
Abstract
We give a new integral characterization of the Dirichlet process on a general phase space. To do so we first prove a characterization of the nonsymmetric Beta distribution via size-biased sampling. Two applications are a new characterization of the Dirichlet distribution and a marked version of a classical characterization of the Poisson-Dirichlet distribution via invariance under size-biased sampling.
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Taxonomy
TopicsBayesian Methods and Mixture Models · Point processes and geometric inequalities · Diffusion and Search Dynamics
