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Activity Number: 454
Type: Invited
Date/Time: Wednesday, August 9, 2006 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Education
Abstract - #305037
Title: Introducing Bayes in a First Statistics Course
Author(s): James Albert*+
Companies: Bowling Green State University
Address: Department of Math and Statistics, Bowling Green, OH, 43403,
Keywords: hierarchical modeling ; testing ; prior information
Abstract:

Although Bayesian modeling is currently popular at the research level, relatively few universities offer classes on Bayesian inference. In this paper, we present several self-contained illustrations of Bayesian thinking suitable for a first-year mathematical statistics class. These examples focus on the advantages of Bayesian thinking, including the incorporation of prior beliefs, the combination of data from related sources, and the production of alternative measures of evidence.

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