青岛大学学报（自然科学版）2017，Vol.30Issue(3)：11-14,4.DOI:10.3969/j.issn.1006-1037.2017.08.03
广义Bartlett图的分类研究
Study of the Classification of Generalized Bartlett Graphs
摘要
Abstract
A new graphical models-Generalized Bartlett graphs are studied for Bayesian inference problems.The circle with length greater than or equal to 4 and the complete bipartite graph G=Km,m (m greater than or equal to 3) are studied by the decomposable covering algorithm of undirected graphs.The circle with length greater than or equal to 4 belongs to the generalized Bartlett graph,and the complete bipartite graph G=K (m greater than or equal to 3) does not belong to the generalized Bartlett graph.By introducing the concept of generalized Bartlett graph and decomposable covering algorithm,avoiding the difficuhy of model selection when Bayesian inference is performed on graphs.关键词
可分解图/广义Bartlett图/可分解覆盖Key words
decomposable graph/generalized Bartlett graph/decomposable cover分类
数理科学引用本文复制引用
刘丽丽,许成,陈本芬..广义Bartlett图的分类研究[J].青岛大学学报（自然科学版）,2017,30(3):11-14,4.基金项目
山东省自然科学基金(批准号:ZR2016AM29)资助. （批准号:ZR2016AM29）
