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Activity Number: 656 - Introducing Bayesian Statistics at Courses of Various Levels
Type: Topic Contributed
Date/Time: Thursday, August 3, 2017 : 10:30 AM to 12:20 PM
Sponsor: Section on Bayesian Statistical Science
Abstract #324670
Title: Teaching Bayes: The Essential Parts
Author(s): Rebecca C. Steorts and Brenda Betancourt*
Companies: Duke University and Duke University
Keywords: reproducible research ; Bayesian methods ; markdown ; github

Applied Bayesian methods are an increasingly important tools in both industry and academia. At the same time, reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and build upon them. In this talk, we illustrate how one can lead lectures and labs for students taking introductory Bayesian statistics in a reproducible way using RStudio, Markdown, and github.

Authors who are presenting talks have a * after their name.

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