Relaxed boundary smoothing splines. (English) Zbl 0746.62043

Oehlert, Gary W.

Ann. Stat. 20, No. 1, 146-160 (1992).

Summary: Ordinary smoothing splines have an integrated mean squared error which is dominated by bias contributions at the boundaries. When the estimated function has additional derivatives, the boundary contribution to the bias affects the asymptotic rate of convergence unless the derivatives of the estimated function meet the natural boundary conditions. This paper introduces relaxed boundary smoothing splines and shows that they obtain the optimal asymptotic rate of convergence without conditions on the boundary derivatives of the estimated function.

MSC:

62G07	Density estimation
62G20	Asymptotic properties of nonparametric inference

Keywords:

nonparametric regression; boundary effects; regularization; integrated mean squared error; bias; relaxed boundary smoothing splines; optimal asymptotic rate of convergence