On the practical implication of mutual information for statistical decisionmaking

DOI10.1109/18.87006zbMath0734.62011OpenAlexW2040216283MaRDI QIDQ3361697

Kenji Nakagawa, Fumio Kanaya

Publication date: 1991

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/e69a1688457cab212161af185c4d12da1fb9b1ae

zbMATH Keywords

mutual informationBayes riskrate-distortion theoryrate-distortion functionasymptotic theorems

Mathematics Subject Classification ID

Bayesian problems; characterization of Bayes procedures (62C10) Rate-distortion theory in information and communication theory (94A34)

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An information-theoretic approach to the design of a distributed cascade of sensors

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