ON NONPARAMETRIC DISCRIMINATION USING DENSITY DIFFERENCES
ON NONPARAMETRIC DISCRIMINATION USING DENSITY DIFFERENCES
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DOI：
10.1093/biomet/75.3.541
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发表时间：
1988-09-01
期刊：
影响因子：
2.7
通讯作者：
WAND, MP
中科院分区：
文献类型：
--
作者：
HALL, P;WAND, MP
我们提出了一种非参数的歧视，其中平滑参数联合选择，根据两个密度之间的差异的基础上的标准。该方法适用于分类，连续和混合数据，并使用两个人口的信息来确定任何一个人口的平滑参数。在分类数据的情况下，有时使用负平滑参数实现最佳性能，如果单独选择平滑参数，则不会出现这种特性。
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.