报告题目：Nonparametric Estimation and Inference for Polytomous Discrimination Index
报告人：栗家量 新加坡国立大学
时 间：6月13日（周二）下午3:00-4:00
地 点：统计楼105
摘要：
Polytomous Discrimination Index (PDI) is a novel and important diagnostic accuracy measure for multi-category classification. After reconstructing its probabilistic definition, we propose a nonparametric approach to the estimation of PDI based on an empirical sample of biomarker values. In this paper we provide the finite-sample and asymptotic properties of the proposed estimators and such analytic results may facilitate the statistical inference. Simulation studies are performed to examine the performance of the nonparametric estimators. Two real data examples are analyzed to illustrate our methodology.