Conditionally independent random variables
Konstantin Makarychev, Yury Makarychev
TL;DR
This paper explores the concept of conditional independence among random variables, establishing new information inequalities that deepen understanding of their probabilistic relationships.
Contribution
It introduces novel information inequalities specific to conditionally independent random variables, advancing theoretical knowledge in this area.
Findings
Proved several new information inequalities for conditionally independent variables
Enhanced theoretical understanding of probabilistic relationships
Provided foundational results for future research in information theory
Abstract
In this paper we investigate the notion of conditional independence and prove several information inequalities for conditionally independent random variables.
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Taxonomy
TopicsDiffusion and Search Dynamics · Wireless Communication Security Techniques · Stochastic processes and statistical mechanics