Nonparametric functional estimation by asymptotic regression

被引：0
|
作者：
Collins, J [1 ]
机构：
[1] USA, Res Lab, Aberdeen Proving Ground, MD USA
来源：
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2003年 / 32卷 / 06期
关键词：
nonparametric functional estimation; stochastic processes;
D O I：
10.1081/STA-120021326
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：
Nonparametric density estimates are obtained by the method of asymptotic regression (AR) on empirical stochastic processes. Rates of convergence for the density estimator are obtained in various norms. The methodology is applied to density estimation in two inverse problems: deconvolution and Wicksell's corpuscle problem.
引用
收藏
页码：1169 / 1195
页数：27
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