Constrained Discrimination via MDI Estimation: The use of Additional Information in Segmentation Analysis
提出一种灵活的约束判别方法，利用额外信息通过最小判别信息原理估计多项概率，检验目标人群基于分类描述的可分割性假设。
The authors demonstrate a general, flexible constrained discrimination method for testing hypotheses about the segmentability of a target population using categorical descriptors when additional information is available. The method applies the principle of minimum discrimination information (MDI) to the estimation of multinomial probabilities under linear equality and inequality constraints.