Abstract
Based on the modal regression estimation (Yao et al., 2012) and spline based estimation method, we provide a novel and robust approach to identify nonzero components as well as linear components in semiparametric additive models by applying a two-fold smoothly clipped absolute deviation (Fan and Li, 2001) penalty. The performance of the new method is demonstrated in terms of theoretical and simulation results.
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