ON THE RELATION BETWEEN CONDITIONAL-INDEPENDENCE MODELS DETERMINED BY FINITE DISTRIBUTIVE LATTICES AND BY DIRECTED ACYCLIC GRAPHS

被引:21
作者
ANDERSSON, SA
MADIGAN, D
PERLMAN, MD
TRIGGS, CM
机构
[1] INDIANA UNIV,DEPT MATH,BLOOMINGTON,IN 47405
[2] UNIV WASHINGTON,DEPT STAT,SEATTLE,WA 98195
[3] UNIV AUCKLAND,DEPT STAT,AUCKLAND,NEW ZEALAND
基金
美国国家科学基金会;
关键词
CONDITIONAL INDEPENDENCE MODEL; MULTIVARIATE DISTRIBUTION; JOINT DENSITY; MARKOV MODEL; MARKOV EQUIVALENT; UNDIRECTED GRAPH; DIRECTED GRAPH; ACYCLIC; TRANSITIVE; DECOMPOSABLE; FINITE DISTRIBUTIVE LATTICE; JOIN-IRREDUCIBLE ELEMENT; PARTIALLY ORDERED SET; POSET;
D O I
10.1016/0378-3758(94)00150-T
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
The relations among the classes of multivariate conditional independence models determined by directed acyclic graphs (DAG), undirected graphs (UDG), decomposable graphs (DEC), and finite distributive lattices (LCI) are investigated, First, LCI models that admit positive joint densities are characterized in terms of an appropriate factorization of the density. This factorization is then recognized as a particular form of the recursive factorization that characterizes DAG models, thereby establishing that the LCI models comprise a subclass of the class of DAG models. Precisely, the class of LCI models coincides with the subclass of transitive DAG models. Furthermore, the class of LCI models has nontrivial intersection with the class of DEC models. A series of examples illustrating these relations are presented.
引用
收藏
页码:25 / 46
页数:22
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