Abstract
I describe an introductory graduate course on Bayesian statistics taught in the Spring of 2001 at the University of Texas. The course made extensive use of simulation through Markov Chain Monte Carlo, with students completing a number of projects to introduce them to the basic ideas of MCMC simmulation and Bayesian reasoning.
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Gelman, A., Carlin, J. B., Stern, H. S. and Rubin, D. B. (1995), Bayesian Data Analysis. London: Chapman and Hall.
Schmitt, Samuel (1969). Measuring Uncertainty: An Elementary Introduction to Bayesian Statistics. Reading, MA: Addison-Wesley. This book is out of print but was published as a course packet with the permission of the copyright holder.
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© 2003 Springer-Verlag New York, Inc.
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Jefferys, W.H. (2003). Teaching Bayesian Statistics Through Simulation. In: Statistical Challenges in Astronomy. Springer, New York, NY. https://doi.org/10.1007/0-387-21529-8_46
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DOI: https://doi.org/10.1007/0-387-21529-8_46
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-95546-9
Online ISBN: 978-0-387-21529-7
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