MULTIVARIATE BINARY DISCRIMINATION BY KERNEL METHOD

被引：247

作者：

AITCHISON, J ^{[1
]}

AITKEN, CGG ^{[1
]}

机构：

[1] UNIV GLASGOW, DEPT STATISTICS, GLASGOW G12 8QQ, SCOTLAND

来源：

BIOMETRIKA | 1976年 / 63卷 / 03期

关键词：

D O I：

10.1093/biomet/63.3.413

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

An extension of the kernel method of density estimation from continuous to multivariate binary spaces is described. Its simple nonparametric nature together with its consistency properties make it an attractive tool in discrimination problems, with some advantages over already proposed parametric counterparts. The method is illustrated by an application to a particular medical diagnostic problem. Simple extensions of the method to categorical data and to data of mixed binary and continuous form are indicated.

引用

页码：413 / 420

页数：8

共 23 条

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[2]

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[3]

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[4]

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[10]

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