The Adaptive Bayes Procedure

We consider the problem of classifying situations when there is no a priori information on their probability characteristics. Using the proposed adaptive Bayes procedure, optimal iterative algorithms are obtained for estimating Bayes decision rules. As an example we solve the problem of constructing a Neyman–Pearson receiver.