JTW > Courses > STAT 789: Foundations of Bayesian Data Analysis (online)
[Sitemap]

Vital Statistics

Required Textbooks

• Gelman, Carlin, Stern, Dunson, Vehtari & Rubin, Bayesian Data Analysis, Third Edition (CRC, 2013). ISBN 978-1-4398-4095-5
  Also available as an electronic book through the Wallace Library.
• McElreath, Statistical Rethinking: A Bayesian Course with Examples in R and Stan, First Edition (CRC, 2017). ISBN 978-1-4822-5344-3

Recommended Textbooks

• Kruschke, Doing Bayesian Data Analysis: A Tutorial with R, JAGS and Stan, Second Edition (Academic Press, 2014). ISBN 978-0-1240-5888-0
  Also available as an electronic book through the Wallace Library.

Possibly Useful References

• Jaynes, Probability Theory: The Logic of Science, First Edition (Cambridge, 2003). ISBN 978-0-52-159271-0
• Sivia with Skilling, Data analysis: a Bayesian tutorial, Second Edition (Oxford, 2006). ISBN 978-0-1985-6832-2
  Also available as an electronic book through the Wallace Library.
• Bolstad & Curran, Introduction to Bayesian Statistics, Third Edition (Wiley, 2016). ISBN 978-1-1180-9156-2
• Bolstad, Understanding Computational Bayesian Statistics, First Edition (Wiley, 2009). ISBN 978-0-4700-4609-8

Instructor

Dr. John T. Whelan

jtwsma@rit.edu

Syllabus

Note

This course is being delivered via RIT's mycourses site, http://mycourses.rit.edu/