The Bayes decision rule stability under inaccurately determined class prior probabilities
E. Zhuk · Digital Library of the Belarusian State University (Belarusian State University) · 2010
The Bayes decision rule stability is investigated under inaccurately determined class prior probabilities. The risk bias is analytically evaluated by the risk asymptotic expansion method. The obtained results are illustrated for the well known Fisher model.