Conditional Independence Structures Over Four Discrete Random Variables Revisited: Conditional Ingleton Inequalities

被引:1
|
作者
Studeny, Milan [1 ]
机构
[1] Czech Acad Sci, Inst Informat Theory & Automat, Prague 18200, Czech Republic
关键词
Random variables; Probabilistic logic; Standards; Cramer-Rao bounds; Entropy; Indexes; Tools; Entropy function; discrete random variables; conditional information inequalities; conditional independence; polymatroids; INFORMATION INEQUALITIES; STOCHASTIC INDEPENDENCE;
D O I
10.1109/TIT.2021.3104250
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The paper deals with linear information inequalities valid for entropy functions induced by discrete random variables. Specifically, the so-called conditional Ingleton inequalities are in the center of interest: these are valid under conditional independence assumptions on the inducing random variables. We discuss five inequalities of this particular type, four of which has appeared earlier in the literature. Besides the proof of the new fifth inequality, simpler proofs of (some of) former inequalities are presented. These five information inequalities are used to characterize all conditional independence structures induced by four discrete random variables.
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页码:7030 / 7049
页数:20
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