ON NONPARAMETRIC DISCRIMINATION USING DENSITY DIFFERENCES
成果类型：
Article
署名作者：
HALL, P; WAND, MP
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.1093/biomet/75.3.541
发表日期：
1988
页码：
541547
关键词：
摘要：
We propose a technique for nonparametric discrimination in which smoothing parameters are chosen jointly, according to a criterion based on the difference between two densities. The approach is suitable for categorical, continuous and mixed data, and uses information from both populations to determine the smoothing parameter for any one population. In the case of categorical data, optimal performance is sometimes achieved using negative smoothing parameters, a property which does not emerge if the smoothing parameters are chosen individually.