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 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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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. |
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ISSN: | 1099-4300 1099-4300 |
DOI: | 10.3390/e17074644 |