Stat 341
Computational Bayesian Statistics
Spring 2019

[calendar] [test info] [resources] [Redoing BDA] [from class] [homework]

Materials From Class

Here is where you can find things used, handed out, or mentioned in class.

(Re)Doing Bayesian Data Analysis

I’m assembing an online book to accompany the Kruschke text. You can find it at http://rpruim.github.io/Kruschke-Notes. It will include

  • (I hope nicer) R code for doing things in the book.
  • Additional comments/examples etc.

This will be expanded as the semester goes along.

Slides and Examples

CalvinBayes

I’m also assembling an R package called CalvinBayes. The package will include data sets from the Kruschke text (so you don’t have to track down the CSV fies and read them into R) and utilties to make our lives easier. Some of these are modeled after or similar to functions that Kruschke provides in his many R files. But putting them into a package makes them much easier to use.

This will likely be expanded over the course of the semester. If you install locally, be sure to update the package periodically.

RStudio

Additional Resources

I’ve assembled a list of resources related to Bayesian inference here.