A Graph-Based Inference Method for Conditional Independence
Ross D. Shachter

TL;DR
This paper introduces a graphical inference method for conditional independence, using multiple undirected graphs and transformations, providing a purely graphical proof technique aligned with graphoid axioms.
Contribution
It presents a novel graphical representation and transformation system for deriving conditional independence statements, avoiding numerical calculations.
Findings
Graphical system equivalent to graphoid axioms
Purely graphical proof technique for conditional independence
Representation using multiple undirected graphs
Abstract
The graphoid axioms for conditional independence, originally described by Dawid [1979], are fundamental to probabilistic reasoning [Pearl, 19881. Such axioms provide a mechanism for manipulating conditional independence assertions without resorting to their numerical definition. This paper explores a representation for independence statements using multiple undirected graphs and some simple graphical transformations. The independence statements derivable in this system are equivalent to those obtainable by the graphoid axioms. Therefore, this is a purely graphical proof technique for conditional independence.
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Taxonomy
TopicsBayesian Modeling and Causal Inference · AI-based Problem Solving and Planning · Logic, Reasoning, and Knowledge
