On choosing the centering distribution in Dirichlet process mixture models

被引：2

作者：

Hanson, T ^{[1
]}

Sethuraman, J

Xu, L

机构：

[1] Univ New Mexico, Dept Math & Stat, Albuquerque, NM 87131 USA

[2] Florida State Univ, Dept Stat, Tallahassee, FL 32306 USA

来源：

STATISTICS & PROBABILITY LETTERS | 2005年 / 72卷 / 02期

关键词：

Bayesian; Gaussian; nonparametric;

D O I：

10.1016/j.spl.2004.12.008

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

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. (c) 2005 Elsevier B.V. All rights reserved.

引用

页码：153 / 162

页数：10

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