Characterizations of Conditional Mutual Independence: Equivalence and Implication

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Authors: Laigang Guo, Raymond W. Yeung, Tao Guo
Cited by: 0

Abstract

Conditional independence, and more generally conditional mutual independence, are central notions in probability theory. In their general forms, they include functional dependence as a special case. In this paper, we tackle two fundamental problems related to conditional mutual independence. Let $K$ and $K'$ be two conditional mutual independncies (CMIs) defined on a finite set of discrete random variables. We have obtained a necessary and sufficient condition for i) $K$ is equivalent to $K'$; ii) $K$ implies $K'$. These characterizations are in terms of a canonical form introduced for conditional mutual independence.

Fields of Study & Subjects

Bayesian Modeling and Causal Inference Probability and Statistical Research Advanced Graph Theory Research

Publication details

Journal / source
arXiv (Cornell University)
Publication date
9 February 2026
Language
EN
Document type
Preprint