Arimoto–Rényi Conditional Entropy and Bayesian $M$ -Ary Hypothesis Testing

DOI10.1109/TIT.2017.2757496zbMath1390.94640arXiv1701.01974OpenAlexW2962719046MaRDI QIDQ4566615

Sergio Verdú, Igal Sason

Publication date: 27 June 2018

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

Full work available at URL: https://arxiv.org/abs/1701.01974

Mathematics Subject Classification ID

Measures of information, entropy (94A17)

Related Items (3)

Novel Fano type lower bounds on the minimum error probability of list $M$-ary hypothesis testing ⋮ A strong converse bound for multiple hypothesis testing, with applications to high-dimensional estimation ⋮ A primer on alpha-information theory with application to leakage in secrecy systems

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