Course overview
In this course, students will explore advanced Bayesian theory and application.
Course learning outcomes
- Propose, formulate, interpret, and defend Bayesian models
- Derive sophisticated analytical relationships by hand
- Recommend and implement improvements to models with reference to data or word problems