Quantifying Redundant Information in Predicting a Target Random Variable

We consider 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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Veröffentlicht in:Entropy (Basel, Switzerland) Switzerland), 2015-07, Vol.17 (7), p.4644-4653
Hauptverfasser: Griffith, Virgil, Ho, Tracey
Format: Artikel
Sprache:eng
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Zusammenfassung:We consider 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.
ISSN:1099-4300
1099-4300
DOI:10.3390/e17074644