论文信息 - On Logarithmically Asymptotically Optimal Hypothesis Testing for Arbitrarily Varying Source with Side Information

On Logarithmically Asymptotically Optimal Hypothesis Testing for Arbitrarily Varying Source with Side Information

Abstract The asymptotic interdependence of the error probabilities exponents (reliabilities) in optimal hypotheses testing is studied for arbitrarily varying source with the state sequence known to the statistician. The case when states are not known to the decision maker was studied by Fu and Shen.

Rudolf Ahlswede | Evgueni A. Haroutunian | Ella Aloyan

[1] Lucien Birgé,et al. Vitesses maximales de décroissance des erreurs et tests optimaux associés , 1981 .

[2] Rudolf Ahlswede,et al. Coloring hypergraphs: A new approach to multi-user source coding, 1 , 1979 .

[3] Fang-Wei Fu,et al. Hypothesis Testing for Arbitrarily Varying Source with Exponential-Type Constraint , 1998, IEEE Trans. Inf. Theory.

[4] G. Tusnády. On Asymptotically Optimal Tests , 1977 .

[5] W. Hoeffding. Asymptotically Optimal Tests for Multinomial Distributions , 1965 .