个人信息Personal Information
副教授
博士生导师
硕士生导师
性别:男
毕业院校:吉林大学
学位:博士
所在单位:数学科学学院
学科:概率论与数理统计. 金融数学与保险精算
办公地点:数学科学学院5楼
电子邮箱:wangxg@dlut.edu.cn
Nonparametric estimation of the ROC curve based on the Bernstein polynomial
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论文类型:期刊论文
发表时间:2019-12-01
发表刊物:JOURNAL OF STATISTICAL PLANNING AND INFERENCE
收录刊物:SCIE
卷号:203
页面范围:39-56
ISSN号:0378-3758
关键字:ROC curve; Bernstein estimator; Consistency rate; Asymptotic properties
摘要:The receiver operating characteristic (ROC) curve is a graphical representation of the relationship between false positive and true positive rates. It is a widely used statistical tool for describing the accuracy of a diagnostic test. In this paper we adopt Bernstein polynomials to construct the ROC curve estimator. The consistency rate of this estimator is studied. We also obtain explicit expressions for the asymptotic bias and variance and show the improvement of the asymptotic mean squared error compared to that of the classical empirical ROC estimator. Furthermore, the weak convergence of the Bernstein ROC process is established. Simulation studies are conducted to compare our proposed estimator with other popular nonparametric ROC estimators. Finally, the proposed method is illustrated by application to a real data set. (C) 2019 Elsevier B.V. All rights reserved.