Error exponents in multiple hypothesis testing for arbitrarily varying sources
Naira Grigoryan, Ashot N. Harutyunyan · 2010
The problem of multiple hypothesis testing (HT) for arbitrarily varying sources (AVS) is considered. The achievable error probability exponents (reliabilities) region is derived, optimal decision schemes are described. The result extends the known ones by Fu and Shen and by Tuncel. The Chernoff bounds for AVS binary and M-ary HT are specified via indication of a Sanov theorem for those sources.