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《Journal of Qufu Normal University(Natural Science)》 2018-04
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Deep Mining of Bayes Formula Teaching

FANG Hong-yan;WANG Rui;YANG Wen-zhi;HU Fu-tao;School of Mathematical Sciences,Anhui University;  
Bayes formula is the theoretical foundation and important application tool of Bayesian statistics.It has many important applications in related fields such as Bayesian regression analysis,Bayesian risk decision,neural network,machine learning.Bayes formula is a key and difficult point in higher education teaching.In this paper,deep analysis of Bayes formula is carried out through case analysis and graphical description,in view of the existing common problems in Bayes formula teaching.It can help to not only understand the Bayes formula well,but also realize the charming of Bayes formula.
【Fund】: 国家自然科学基金(11501005 11401004 11801003);; 安徽省自然科学基金(1808085QA17);; 安徽省质量工程(2015jyxm054 ZLTS2015053);; 安徽大学博士科研启动经贯(J01003205)
【CateGory Index】: G642;O212.8-4
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