Dependence detection in high-dimensional regression problems

Research problems concern discovery of a minimal set of predictors influencing the target (its Markov Blanket) , prediction interaction between features and modeling of causal dependencies in uplift. Studies use mainly non-parametric approaches based on information-theoretic measures and adaptation of data-mining techniques to uplift. One of the goasl is to
construct stopping rules for greedy search of active variables.