Classifying Two Populations by Bayesian Method and Applications  

作　　者：Tai Vovan Loc Tranphuoc Ha Chengoc 

机构地区：[1]College of Science,Can Tho University,Can Tho City,Viet Nam [2]Faculty of Mathematics and Statistics,Ton Duc Thang University,Ho Chi Minh City,Viet Nam

出　　处：《Communications in Mathematics and Statistics》2019年第2期141-161,共21页数学与统计通讯（英文）

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

关 键 词：Bayes error CLASSIFICATION MEASURE POSTERIOR Prior 

分 类 号：TN9[电子电信—信息与通信工程]