10th International
Conference on
Teaching Statistics
8 – 13 July 2018
Kyoto, Japan
Contributed paper list


Contributed Paper C165

 

Bayesian Statistics: Accommodation and Assimilation.


Authors

Wayne Stewart (United States)
Sepideh Stewart (United States)

Presenter

Wayne Stewart (United States)

Abstract

Bayesian statistics is applied in many scientific fields and will increasingly be taught in universities around the world. There are however, challenges to the successful teaching of the subject which include the understanding of probability as commonly used Bayesian analyses. For example, does the meaning of "prior" always refer to belief "prior" in time to the collection of data? And what is the meaning of "likelihood"? How does it differ from a joint distribution? Many students will have a passing acquaintance with Bayes' rule and may not understand what the "posterior" means in relation to "the prior". Furthermore, confusions can result through wasteful attempts to assimilate classical ideas to the Bayesian paradigm. In this paper, we will suggest some helpful ideas in overcoming these problems.