This folder contains resources for Thursday and Friday morning's tutorials.

Teachers:

• Brendon Brewer (@eggplantbren)
• Daniel Foreman-Mackey (@dfm)
• Phil Marshall (@drphilmarshall)
• David Hogg (@davidwhogg)

• Probability calculus (Brendon) - including: basics of Bayes, thinking about data.

• Example: parameter estimation and model evaluation (Phil & Dan) - including: posterior characterization and sampling, model checking, and the Evidence.

• Sampling PDFs (Brendon) - including: practical considerations, nested sampling.

• Hierarchical models (Dan) - including: PGMs, approaches to high dimensionality.