Inequalities for mean squared error of multidimensional kernel density estimations

被引：0

作者：

Ushakov V.G. ^{[1
]}

Ushakov N.G. ^{[2
]}

机构：

[1] Department of Computational Mathematics and Cybernetics, Moscow State University

[2] Department of Mathematical Sciences, Norwegian University of Science and Technology

来源：

Moscow University Computational Mathematics and Cybernetics | 2010年 / 34卷 / 1期

基金：

俄罗斯基础研究基金会;

关键词：

Kernel estimations; mean squared error; upper estimations;

D O I：

10.3103/S0278641910010036

中图分类号：

学科分类号：

摘要：

The upper limits for the integral mean squared error of multidimensional kernel density estimations are obtained. In particular, it is showed that under certain conditions of regularity, the real errors are always smaller than the asymptotic. © 2010 Allerton Press, Inc.

引用

页码：16 / 21

页数：5

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