Why Bayesian Ideas Should Be Introduced in the Statistics Curricula and How to Do So
Why Bayesian Ideas Should Be Introduced in the Statistics Curricula and How to Do So
复制标题
为什么应该在统计课程中引入贝叶斯思想以及如何这样做
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
A. Hoegh
中科院分区：
文献类型：
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作者：
A. Hoegh
虽然计算已经成为统计领域的重要组成部分，但课程设置仍然受到以数学为中心的思想的影响。由于这一遗产，贝叶斯思想不是本科学位所必需的，并且在很大程度上是在研究生阶段教授的；然而，随着最近软件的进步和对计算思维的强调，贝叶斯思想更容易理解。统计学课程需要继续发展，各个层次的学生都应该学习贝叶斯思维。本文提倡为三种学生群体增加贝叶斯思想：统计学入门学生、统计学本科专业学生和研究生科学家；并为这些受众创建贝叶斯主题课程提供指导和材料。本文的补充文件可在网上获得。
Abstract While computing has become an important part of the statistics field, course offerings are still influenced by a legacy of mathematically centric thinking. Due to this legacy, Bayesian ideas are not required for undergraduate degrees and have largely been taught at the graduate level; however, with recent advances in software and emphasis on computational thinking, Bayesian ideas are more accessible. Statistics curricula need to continue to evolve and students at all levels should be taught Bayesian thinking. This article advocates for adding Bayesian ideas for three groups of students: intro-statistics students, undergraduate statistics majors, and graduate student scientists; and furthermore, provides guidance and materials for creating Bayesian-themed courses for these audiences. Supplementary files for this article are available on line.
影响因子：
5.8
作者：
Carpenter, Bob;Gelman, Andrew;Riddell, Allen
通讯作者：
Riddell, Allen
影响因子：
1.8
作者：
Cobb, George
通讯作者：
Cobb, George