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BST 624 Advanced Bayesian Analysis 3.0 Credits

The course provides an overview of the underlying theory of and some advanced applications of Bayesian statistical inference. In particular, the course will cover topics such as Bayesian model selection while emphasizing modern computing techniques. The course will use the freely available statistical software package, R (

College/Department: Dornsife School of Public Health
Repeat Status: Not repeatable for credit
Prerequisites: (BST 551 [Min Grade: C] or BST 751 [Min Grade: C]) and (BST 651 [Min Grade: C] or BST 851 [Min Grade: C]) and (BST 604 [Min Grade: C] or BST 804 [Min Grade: C]) and BST 701 [Min Grade: C]

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