Schedule overview
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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
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- **Pre-workshop**

	+ :ref:`Lesson 0: Setting up computing resources`


- **Day 1: Monday, August 12**

	+ **9:30** - :ref:`Lesson 1: Introduction to Bayesian modeling`
	+ **11:00** - :ref:`Exercise 1. Practice with Bayesian modeling`
	+ **13:00** - :ref:`Lesson 2: Parameter estimation by optimization`
	+ **14:00** - :ref:`Exercise 2. Paremeter estimation by optimization`
	+ **15:00** - :ref:`Lesson 3: Markov chain Monte Carlo and Stan`
	+ **16:00** - :ref:`Exercise 3. First foray into MCMC`


- **Day 2: Tuesday, August 13**

	+ **9:30** - :ref:`Lesson 4: Display of MCMC results and diagnostics`
	+ **10:30** - :ref:`Exercise 4: More Bayesian inference with MCMC`
	+ **13:00** - :ref:`Lesson 5: Prior and posterior predictive checks`
	+ **14:30** - :ref:`Exercise 5: Bayesian modeling with prior and posterior predictive checks`


- **Day 3: Wednesday, August 14**

	+ **9:30** - :ref:`Lesson 6: Hierarchical models`
	+ **11:00** - :ref:`Exercise 6: Hierarchical models`
	+ **13:00** - :ref:`Lesson 7: Principled pipelines`
	+ **14:30** - :ref:`Exercise 7: Principled pipelines`