HIGHLIGHTS
- who: Edoardo Redivo from the Department of Statistical Sciences, University of Bologna, Bologna, Italy have published the Article: Quantile-distribution functions and their use for classification, with application to nau00efve Bayes classifiers, in the Journal: (JOURNAL)
- what: The authors develop a flexible parametric framework for the of functions. The authors show that the family of linear quantile functions can be efficiently estimated using least squares by exploiting the properties of the order statistics. In Sect 3 the authors discuss how to use linear quantile functions for supervised classification and variable selection. Instead, the authors develop . . .
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