文章基本信息

标题：A New Method for Tracking Configuration for Dirichlet Process Sampling
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作者：Rui Wu ; Ming-Hui Chen ; Lynn Kuo 等
期刊名称：Sri Lankan Journal of Applied Statistics
印刷版ISSN：1391-4987
电子版ISSN：2424-6271
出版年度：2014
卷号：5
期号：4
页码：1-16
DOI：10.4038/sljastats.v5i4.7781
语种：English
出版社：The Institute of Applied Statistics, Sri Lanka
摘要：The method of fitting a hierarchical model with Dirichlet process mixing is a versatile tool for data analysts. It has been applied to density estimation, classification, clustering, and high dimensional data analysis. Many computing algorithms have been proposed to evaluate this mixture. Different labels in the algorithm that assign data points into clusters may actually yield the same partition configuration. This paper makes this notion rigorous by establishing an equivalence theorem. Thus, we would recommend adding the step of checking for equivalent configurations to the algorithms for evaluating hierarchical Dirichlet process mixing models for improved results, especially when cluster assignments are the major goals of the analysis.DOI: http://dx.doi.org/10.4038/sljastats.v5i4.7781
关键词：Applied Statistics; Statistics;Clustering configuration; Dirichlet process; Hierarchical Dirichlet process mixing; MCMC algorithm