Schedule overview

Part 2 of the workshop formally runs August 12–14. (Part 1 run August 7–9.) If we manage to cover everything (we won’t), the times below are approximate for the lessons and exercises we will do.

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Daily schedule

• Pre-workshop

  • Lesson 0: Setting up computing resources

• Day 1: Monday, August 12

  • 9:30 - Lesson 1: Introduction to Bayesian modeling

  • 11:00 - Exercise 1. Practice with Bayesian modeling

  • 13:00 - Lesson 2: Parameter estimation by optimization

  • 14:00 - Exercise 2. Paremeter estimation by optimization

  • 15:00 - Lesson 3: Markov chain Monte Carlo and Stan

  • 16:00 - Exercise 3. First foray into MCMC

• Day 2: Tuesday, August 13

  • 9:30 - Lesson 4: Display of MCMC results and diagnostics

  • 10:30 - Exercise 4: More Bayesian inference with MCMC

  • 13:00 - Lesson 5: Prior and posterior predictive checks

  • 14:30 - Exercise 5: Bayesian modeling with prior and posterior predictive checks

• Day 3: Wednesday, August 14

  • 9:30 - Lesson 6: Hierarchical models

  • 11:00 - Exercise 6: Hierarchical models

  • 13:00 - Lesson 7: Principled pipelines

  • 14:30 - Exercise 7: Principled pipelines