On logarithmically asymptotically optimal hypothesis testing for arbitrarily varying sources with side information

Authors:
R. Ahlswede;Ella Aloyan;E. Haroutunian
Affiliations:
Fakultät für Mathematik, Universität Bielefeld, Bielefeld, Germany;-;-
Venue:
General Theory of Information Transfer and Combinatorics
Year:
2006

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Abstract

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.