.
The following is a tentative schedule of what we will cover in class when. Check this space regularly for updates.
Readings listed should be completed either by the start of class on the date indicated or very soon thereafter.
Last update: 05-25-22
Day | Topics | Readings | Assignments Due |
---|---|---|---|
WEEK 0: 02/18 | |||
F 02/18 | Intro: Bayesian Reasoning | Ch 1 | |
WEEK 1: 02/21-02/25 | |||
M 02/21 | Probability, Data and Hypotheses | Ch 2, 4.1-4.2 | Pre-Course Survey, Join Slack |
W 02/23 | Prior, Likelihood and Posterior | Ch 5.1 | – |
F 02/25 | Lab: Intro to RStudio I | — | – |
WEEK 2: 02/28-03/04 | No HW | ||
M 02/28 | Lab: Intro to RStudio II | — | |
W 03/02 | Lab: Find the Posterior With Simulation | — | |
F 03/04 | Random Variables | Ch 4.3 | |
WEEK 3: 03/07-03/11 | HW1 | ||
M 03/07 | Expected Value | Ch 4.4 | |
W 03/09 | Posterior Distributions | Ch. 5 | |
F 03/11 | Conjugate Priors | Ch. 6 | HW2 |
WEEK 4: 03/14-03/18 | |||
M 03/14 | Conjugate Priors | Ch. 6 | |
W 03/16 | Lab: Bayesian Updating | — | |
F 03/18 | Lab: Bayesian Updating | — | HW3 |
WEEK 5: 03/21-03/25 | |||
M 03/21 | Lab: Bayesian Updating | Ch. 7 | EXAM1 |
W 03/23 | Approximate Inference via Sampling | Ch. 7 | |
F 03/25 | Rejection Sampling | — | |
WEEK 6: 03/28-04/01 | |||
M 03/28 | Random Walks | ||
W 03/30 | Markov Chain Monte Carlo | — | |
F 04/01 | Markov Chain Monte Carlo | ||
SPRING BREAK | |||
WEEK 7: 04/11-04/15 | |||
M 04/11 | Hierarchical Models | Ch. 9 | |
W 04/13 | Hierarchical Models | Ch. 9 | |
F 04/15 | Lab: Stan | ||
WEEK 8: 04/18-04/22 | |||
M 04/18 | Hierarchical Models in Stan | ||
W 04/20 | Hierarchical Models in Stan | ||
F 04/22 | Hierarchical Models in Stan | ||
WEEK 9: 04/25-04/29 | |||
M 04/25 | Prior Predictive Checks | ||
W 04/27 | Prior Predictive Checks | ||
F 04/29 | Posterior Predictive Checks | ||
WEEK 10: 05/02-05/06 | |||
M 05/02 | Model Comparison and Occam’s Razor | Ch. 10 | |
W 05/04 | Lab: Model Comparison | ||
F 05/06 | Lab: Model Comparison | HW4 | |
WEEK 11: 05/09-05/13 | |||
M 05/09 | Linear Models | Ch. 15 | |
W 05/11 | Linear Models | Ch. 17.1 | |
F 05/13 | Prior and Error Specification in Linear Models | Ch. 17.2 | |
WEEK 12: 05/16-05/20 | |||
M 05/16 | Generalizing the Linear Model | Revisit Ch. 15 | HW5 |
W 05/18 | Lab: Linear Model with Categorical Predictor | Ch. 16,19 | |
F 05/20 | Binary Predicted (Response) Variables | Ch. 21 | |
WEEK 13: 05/23-05/26 | |||
M 05/23 | Lab: Logistic Regression | ||
W 05/25 | Catch Up/Review | — | HW6 |