A Note on Discriminant Analysis Using LAD
指出用回归方法做判别分析常因二元因变量违反线性模型假设而不正确，但假设拉普拉斯分布可为MSD判别分析提供理论基础。
ABSTRACT Using a regression approach to discriminant analysis is often incorrect because it forces the use of a binary dependent variable which violates virtually any distributional assumption for a linear model. However, assuming a Laplace distribution in an LP framework leads to a theoretical foundation for MSD discriminant analysis.