Quantifying Redundant Information in Predicting a Target Random Variable
Information Theory
2023-07-19 v4 math.IT
Abstract
This paper considers the problem of defining a measure of redundant information that quantifies how much common information two or more random variables specify about a target random variable. We discussed desired properties of such a measure, and propose new measures with some desirable properties.
Cite
@article{arxiv.1411.4732,
title = {Quantifying Redundant Information in Predicting a Target Random Variable},
author = {Virgil Griffith and Tracey Ho},
journal= {arXiv preprint arXiv:1411.4732},
year = {2023}
}
Comments
6 pages, 6 figures