Smoothing-intensive methods of regression and their applications

Abstract

We review smoothing-intensive methods of regression, which include PPR, GAM, ACE and so on. We reanalyze three sets of data cited from published literatures by applying GAM and then illustrate practical behaviors of these methods based on smoothing. These methods can give attractive findings which may not be obtained by usual analyses but provide difficulties in their implementation and interpretation.