Quantifying Redundant Information in Predicting a Target Random Variable

Virgil Griffith, Tracey Ho

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.

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