文章基本信息

标题：On the Prior and Posterior Distributions Used in Graphical Modelling
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作者：Marco Scutari
期刊名称：Bayesian Analysis
印刷版ISSN：1931-6690
电子版ISSN：1936-0975
出版年度：2013
卷号：8
期号：3
页码：505-532
DOI：10.1214/13-BA819
语种：English
出版社：International Society for Bayesian Analysis
摘要：Graphical model learning and inference are often performed using Bayesian techniques. In particular, learning is usually performed in two separate steps. First, the graph structure is learned from the data; then the parameters of the model are estimated conditional on that graph structure. While the probability distributions involved in this second step have been studied in depth, the ones used in the first step have not been explored in as much detail.