On the asymptotics of penalized spline smoothing

被引:36
|
作者
Wang, Xiao [1 ]
Shen, Jinglai [2 ]
Ruppert, David [3 ]
机构
[1] Purdue Univ, Dept Stat, W Lafayette, IN 47909 USA
[2] Univ Maryland Baltimore Cty, Dept Math & Stat, Baltimore, MD 21250 USA
[3] Cornell Univ, Sch Operat Res & Informat Engn, Ithaca, NY 14853 USA
来源
基金
美国国家科学基金会;
关键词
Boundary kernel; difference penalty; equivalent kernel; Green's function; P-spline; EQUIVALENT KERNEL; REGRESSION;
D O I
10.1214/10-EJS593
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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.
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页码:1 / 17
页数:17
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