Overview

• Define the Bayesian philosophy and distinguish from frequentist inference
• Define core concepts for Bayesian methods
• Discuss the importance of simulation to estimate density functions
• Assess methods for defining priors
• Identify the strengths and weaknesses of Bayesian inference

Before class

• Read chapter 11 (Bayesian inference) in All of Statistics (UChicago authentication required)

Slides and class materials

• Slides
• Bayesian inference

Additional resources

What you need to do