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On choosing the centering distribution in Dirichlet process mixture models

We present two results that pertain to the choosing of the centering distribution in a Bayesian setup with a Dirichlet process mixture prior based on Gaussian kernels. Our results indicate that for such kernels, one can choose the centering measure for the Dirichlet process mixture model exactly as one would in the analogous simpler Dirichlet process model.
Year of publication:
2005
Authors: Hanson, Timothy ; Sethuraman, Jayaram ; Xu, Ling
Published in:
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 72.2005, 2, p. 153-162
Publisher: Elsevier
Subject: Bayesian Gaussian Nonparametric
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Type of publication: Article
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Persistent link: https://www.econbiz.de/10005223471
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