Marginalization and Conditioning for LWF Chain Graphs

Kayvan Sadeghi
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引用次数: 13

Abstract

In this paper, we deal with the problem of marginalization over and conditioning on two disjoint subsets of the node set of chain graphs (CGs) with the LWF Markov property. For this purpose, we define the class of chain mixed graphs (CMGs) with three types of edges and, for this class, provide a separation criterion under which the class of CMGs is stable under marginalization and conditioning and contains the class of LWF CGs as its subclass. We provide a method for generating such graphs after marginalization and conditioning for a given CMG or a given LWF CG. We then define and study the class of anterial graphs, which is also stable under marginalization and conditioning and contains LWF CGs, but has a simpler structure than CMGs.
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LWF链图的边缘化与条件
本文利用LWF马尔可夫性质,研究了链图节点集的两个不相交子集的边缘化和条件化问题。为此,我们定义了具有三种边的链混合图(CMGs)类,并给出了一类在边缘和条件下稳定的分离准则,并将LWF混合图类作为其子类。对于给定的CMG或给定的LWF CG,我们提供了一种在边缘化和条件作用后生成此类图的方法。然后,我们定义并研究了一类前图,它在边缘化和条件下也是稳定的,并且包含LWF CGs,但结构比CGs更简单。
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