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Activity Number: 360
Type: Contributed
Date/Time: Wednesday, August 6, 2008 : 8:30 AM to 10:20 AM
Sponsor: Section on Nonparametric Statistics
Abstract - #301923
Title: On the Asymptotics of Additive Penalized Splines
Author(s): Yingxing Li*+ and David Ruppert
Companies: Cornell University and Cornell University
Address: , Ithaca, NY, ,
Keywords: Asymptotics ; P-spline ; backfitting ; penalty
Abstract:

In this talk, we study the asymptotic property when the p-dimensional additive model is fitted by penalized splines. The penalty is placed on the differences of the coefficients and B-splines are used. The penalized spline estimators are shown to have the same asymptotic distribution as that of backfitting using Nadaraya-Watson kernel estimators. The optimal convergence rate depends mainly on the order of the penalty given the number of knots exceeds a minimum bound. The asymptotic bias and variance are computed. Penalized spline estimators are not design-adaptive.


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