Variable screening for ultrahigh dimensional heterogeneous data via conditional quantile correlations
The main contribution of this paper is a new method of conditional quantile screening. The method is suitable for the varying coefficient models with ultrahigh dimensional features which play an important role in the scientific discoveries. The ranking consistency is proved. A real data analysis demonstrates the efficiency of the proposed approach.
scientific article; zbMATH DE number 6858919
scientific article