Abstract
Fitting a cubic smoothing spline is a typical smoothing method. This paper reveals a principle of duality in the penalized least squares regressions relating to the method. We also provide a number of results derived from them, some of which are illustrated by a real data example.
Funder
Japan Society for the Promotion of Science
Subject
General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)
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