Collapsibility for Directed Acyclic Graphs

被引:11
|
作者
Xie, Xianchao [1 ]
Geng, Zhi [1 ]
机构
[1] Peking Univ, Sch Math Sci, LMAM, Beijing 100871, Peoples R China
关键词
directed acyclic graph; graphical model; model collapsibility; CONTINGENCY-TABLES; MODELS; MARGINALIZATION;
D O I
10.1111/j.1467-9469.2008.00627.x
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
Collapsibility means that the same statistical result of interest can be obtained before and after marginalization over some variables. In this paper, we discuss three kinds of collapsibility for directed acyclic graphs (DAGs): estimate collapsibility, conditional independence collapsibility and model collapsibility. Related to collapsibility, we discuss removability of variables from a DAG. We present conditions for these three different kinds of collapsibility and relationships among them. We give algorithms to find a minimum variable set containing a variable subset of interest onto which a statistical result is collapsible.
引用
收藏
页码:185 / 203
页数:19
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