论文标题
第一个概率/统计课程的贝叶斯重新设计
A Bayesian Redesign of the First Probability/Statistics Course
论文作者
论文摘要
传统的基于微积分的统计推断介绍包括一个学期的概率，然后是一个经常推断的学期。 Cobb（2015）挑战统计教育社区重新考虑本科统计课程。他特别建议我们应该专注于两个目标：使基本概念可访问并最大程度地减少研究的先决条件。使用COBB的五个基本原理，我们基于基于基于仿真的贝叶斯计算的新统计介绍进行了新的介绍。
The traditional calculus-based introduction to statistical inference consists of a semester of probability followed by a semester of frequentist inference. Cobb (2015) challenges the statistical education community to rethink the undergraduate statistics curriculum. In particular, he suggests that we should focus on two goals: making fundamental concepts accessible and minimizing prerequisites to research. Using five underlying principles of Cobb, we describe a new calculus-based introduction to statistics based on simulation-based Bayesian computation.
