An EPPF from independent sequences of geometric random variables

This paper considers generating exchangeable partition probability functions from an independent and identically distributed sample from a geometric distribution. We show that the model is rich and while different from exchangeable random variables based on nonparametric models, such as the Dirichlet process, both are driven by a single parameter, and hence to some extent comparable.

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Year of publication:	2012
Authors:	Mena, Ramsés H. ; Walker, Stephen G.
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 82.2012, 6, p. 1059-1066
Publisher:	Elsevier
Subject:	EPPF \| Geometric distribution \| Gibbs sampler \| Random partition

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010576160