报告题目：Nonparametric Estimation and Inference
报告时间：2018年6月1日 15:10——15:55
地点：18-918
报告人：栗家良博士、副教授（新加坡国立大学统计与应用概率系）
Abstract: Polytomous Discrimination Index (PDI) is a novel and important diagnostic accuracy measure for multi-category classification. It is now reported and discussed in many biomarker studies. 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.
报告人简介：栗家良，男，2001毕业于中国科技大学，2006年毕业于University of Wisconsin, Madison，获博士学位。目前在新加坡国立大学统计与应用概率系任职，主要研究Personalized medicine、Diagnostic medicine、Prediction、Smoothing、Statistical learning、Survival analysis。在Duke University-NUS Graduate Medical School Singapore Eye Research Institute兼职。发表论文120余篇，是Biometrics (2010-2018)，Lifetime Data Analysis (since 2014)，Biostatistics & Epidemiology (since 2016)，Communications for Statistical Applications and Methods (since 2017)的副主编，是BiOMARKERS (since 2010)的编委。
