The generalized nonparametric regression and its properties

被引：0
作者：
Lapko, Alexandr, V [1 ]
Lapko, Vasily A.
机构：
[1] Russian Acad Sci, Siberian Branch, Inst Computat Modeling, Novosibirsk, Russia
来源：
VESTNIK TOMSKOGO GOSUDARSTVENNOGO UNIVERSITETA-UPRAVLENIE VYCHISLITELNAJA TEHNIKA I INFORMATIKA-TOMSK STATE UNIVERSITY JOURNAL OF CONTROL AND COMPUTER SCIENCE | 2013年 / 24卷 / 03期
关键词：
nonparametric regression; collective estimation; simplified approximations; asymptotic properties;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The technique of synthesis and analysis of the generalized nonparametric regression for solution of problems of restoration of stochastic associations under conditions of the incomplete information is proposed. The idea of the considered approach consists in construction of a set of the simplified parametrical models concerning system of reference points of a learning sample. Their subsequent integration into the generalized model is carried out on the basis of methods of a nonparametric statistician. Properties of the generalized nonparametric regression are investigated. Results of its comparison with a traditional nonparametric regression are analyzed. Conditions of their competence are defined.
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收藏
页码：95 / 103
页数：9
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