On the asymptotics of penalized spline smoothing

Department

Program

Citation of Original Publication

Wang, Xiao, Jinglai Shen, and David Ruppert. “On the Asymptotics of Penalized Spline Smoothing.” Electronic Journal of Statistics 5. (January 2011): 1–17. https://doi.org/10.1214/10-EJS593.

Rights

CC BY 4.0 Deed Attribution 4.0 International

Abstract

This paper performs an asymptotic analysis of penalized spline estimators. We compare P-splines and splines with a penalty of the type used with smoothing splines. The asymptotic rates of the supremum norm of the difference between these two estimators over compact subsets of the interior and over the entire interval are established. It is shown that a P-spline and a smoothing spline are asymptotically equivalent provided that the number of knots of the P-spline is large enough, and the two estimators have the same equivalent kernels for both interior points and boundary points.