Classifying Two Populations by Bayesian Method and Applications

作     者：Tai Vovan Loc Tranphuoc Ha Chengoc 

作者机构：College of ScienceCan Tho UniversityCan Tho CityViet Nam Faculty of Mathematics and StatisticsTon Duc Thang UniversityHo Chi Minh CityViet Nam 

出 版 物：《Communications in Mathematics and Statistics》 (数学与统计通讯（英文）)

年 卷 期：2019年第7卷第2期

页      面：141-161页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：Bayes error Classification Measure Posterior Prior 

摘      要：This article proposes some related issues to classification problem by Bayesian method for two *** are relationships between Bayes error(BE)and other measures and the results for determining the *** addition,we propose three methods to find the prior probabilities that can make to reduce *** calculation of these methods can be performed conveniently and efficiently by the MATLAB *** new approaches are tested by the numerical examples including synthetic and benchmark data and applied in medicine and *** examples also show the advantages of the proposed methods in comparison with existing methods.