標題: Polya 樹過程
Polya tree process
作者: 蔡嘉軒
Tsai, Teresa
洪慧念
Hung, Hui-Nien
統計學研究所
關鍵字: Polya 樹先驗分配;貝氏無母數分析;隨機空間分割;Polya tree prior;Bayesian nonparametric;Randomised Partitions
公開日期: 2012
摘要: Polya 樹過程為一隨機測量之先驗分配,其中包含了Dirichlet 過程,亦即 Dirichlet 過程為Polya 樹過程的一個特例。此外,Polya 樹過程跟Dirichlet 過程一樣,都具有共軛分配的特質。但Polya 樹過程有兩點特徵與Dirichlet 過程不同,其一,Polya 樹過程具有大量參數共同決定分配,作為分配廣大的支撐;其二, Polya 樹過程具有近似連續分配的性質。
Polya tree process is a large class of prior distributions, which Dirichlet process is included as a special case of Polya trees process. Like Dirichlet prior, the Polya tree prior also able to form a conjugate class for the posterior distributions. However, Polya tree process is different from Dirichlet process in two aspects: First, the Polya tree process is determined by a large collection of parameters and thus provide means to incorporate a wide range of beliefs. Second, some Polya trees assign probability 1 to the set of continuous distributions by (Kraft, 1964).
URI: http://140.113.39.130/cdrfb3/record/nctu/#GT070052603
http://hdl.handle.net/11536/71776
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