Marginalization and Conditioning for LWF Chain Graphs

05/28/2014
by   Kayvan Sadeghi, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/19/2011

Stable mixed graphs

In this paper, we study classes of graphs with three types of edges that...
research
12/12/2012

Markov Equivalence Classes for Maximal Ancestral Graphs

Ancestral graphs are a class of graphs that encode conditional independe...
research
08/01/2009

A Class of DSm Conditional Rules

In this paper we introduce two new DSm fusion conditioning rules with ex...
research
05/08/2019

Conditioning in tropical probability theory

We define a natural operation of conditioning of tropical diagrams of pr...
research
04/14/2023

Solving Unique Games over Globally Hypercontractive Graphs

We study the complexity of affine Unique-Games (UG) over globally hyperc...
research
05/02/2016

The geometry of learning

We establish a correspondence between classical conditioning processes a...
research
05/03/2018

NFL Injuries Before and After the 2011 Collective Bargaining Agreement (CBA)

The National Football League's (NFL) 2011 collective bargaining agreemen...

Please sign up or login with your details

Forgot password? Click here to reset