Multivariate Dirichlet Moments and a Polychromatic Ewens Sampling Formula
Lorenzo Dello Schiavo, Filippo Quattrocchi

TL;DR
This paper derives a simple formula for multivariate Dirichlet moments, extends it to Dirichlet-Ferguson and Gamma measures, and introduces a polychromatic Ewens sampling formula linked to urn models and partition processes.
Contribution
It provides a non-recursive formula for multivariate Dirichlet moments and introduces a novel polychromatic Ewens sampling formula with theoretical properties.
Findings
Elementary non-recursive Dirichlet moments formula
Extension to Dirichlet-Ferguson and Gamma measures
Polychromatic Ewens sampling formula with consistency
Abstract
We present an elementary non-recursive formula for the multivariate moments of the Dirichlet distribution on the standard simplex, in terms of the pattern inventory of the moments' exponents. We obtain analog formulas for the multivariate moments of the Dirichlet-Ferguson and Gamma measures. We further introduce a polychromatic analogue of Ewens sampling formula on colored integer partitions, discuss its relation with suitable extensions of Hoppe's urn model and of the Chinese restaurant process, and prove that it satisfies an adapted notion of consistency in the sense of Kingman.
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Taxonomy
TopicsBayesian Methods and Mixture Models
