Recreating Michael Betancourt’s Bayesian modeling course from his online materials

September 23, 2018

(This article was first published on Shravan Vasishth's Slog (Statistics blog), and kindly contributed to R-bloggers)

Several people wanted to have the slides from Betancourt’s lectures at SMLP2018. It is possible to recreate most of the course from his writings:

1. Intro to probability:

2. Workflow:

3. Diagnosis:

4. HMC:

5. Validating inference:

6. Calibrating inference:

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