On Logarithmically Asymptotically Optimal Hypothesis Testing for Arbitrarily Varying Sources with Side Information
The asymptotic interdependence of the error probabilities exponents (reliabilities) in optimal hypotheses testing is studied for arbitrarily varying sources with state sequence known to the statistician. The case when states are not known to the decision maker was studied by Fu and Shen.
KeywordsConditional Divergence State Sequence Side Information Optimal Test Conditional Entropy
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