Here are slides created for a fast-paced 8-hour introductory workshop/short course on the application of modern Bayes analysis using the WinBUGS/OpenBUGS software. This material is at a BS level and can serve as a first look at Bayesian statistics. More complete material (at an MS level) is available on this site here.
Front Matter-BasicBayesModule0
- A Simple Discrete Example of the “Bayes Paradigm”-BasicBayesModule1
- A (Relatively) Simple Continuous Example of the “Bayes Paradigm”-BasicBayesModule2
- Bayes Computation via Markov Chain Monte Carlo (or “What if I can’t Do Multivariate Calculus?” )-BasicBayesModule3
- A First Look at WinBUGS/OpenBUGS and Practical Bayes Computation-BasicBayesModule4
- An Example of What Can Go Wrong With Gibbs and More on Diagnostics-BasicBayesModule5
- Some One-Sample Normal Examples-BasicBayesModule6
- Some Multivariate Normal Examples-BasicBayesModule7
- Some Multi-Sample Examples-BasicBayesModule8
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