ИСТИНА

We consider mixed models where some features form a vector having a density and other take values in discrete sets. Note that this model comprises the classical logistic regression. Statistical estimates of the mentioned characteristics, for instance mutual information, play essential role in the feature selection technique. We develop results on principle asymptotic properties of such estimates involving k-nearest neighbor statistics.