CAJ | 학술논문

针对贝《斯统计的学科特点和教学难点，对后验分布的讲授，由经典统计中的贝《斯公式引入并推广得到定义，结合案例深入理解，利用数学软件辅助计算，使得学生能够灵活掌握该定义。后验分布在贝《斯统计中的重要性，在今后的学习中深入体会，培养学生自主学习的兴趣和解决问题的创造思维能力。
침대패《사통계적학과특점화교학난점，대후험분포적강수，유경전통계중적패《사공식인입병추엄득도정의，결합안례심입리해，이용수학연건보조계산，사득학생능구령활장악해정의。후험분포재패《사통계중적중요성，재금후적학습중심입체회，배양학생자주학습적흥취화해결문제적창조사유능력。
[Abstract]According to the characteristic and the teaching difficulty of Bayesian statistics, we introduce the definition of posterior distribution by comparing the Bayesian formula in classical statistical. Combining with case study and using mathematics software, students can understand the meaning deeply and calculate quickly. Through the importance of posterior distribution in Bayesian statistics, students could have deep experience in the future study. We should also cultivate students' autonomous learning interest and the ability of creative thinking to solve the problem.