Course notes

Lecture 1: Overview + fitting by eye
[R code]  

[Lecture 2]: Building generative models
[Reading: Bayesian Workflow, Chapter 25]

Lecture 3: What can you do with generative models? + Lab

Lecture 4: Simulated method of moments I

Lecture 5: Simulated method of moments II