A Bayesian approach for classification of Markov sources

DOI10.1109/18.86998zbMath0734.62012OpenAlexW2142326547MaRDI QIDQ3361698

Neri Merhav, Jacob Ziv

Publication date: 1991

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

Full work available at URL: https://doi.org/10.1109/18.86998

zbMATH Keywords

hypothesis testingerror exponentNeyman-Pearson criterionuniversal testsuniversal classifierminimum error probabilityclassification of Markov sourcesunifilar sources

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian problems; characterization of Bayes procedures (62C10) Applications of statistics (62P99) Survival analysis and censored data (62N99)

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