Instructor: Caleb Roberts
Week | Day | Date | Topic | Discussion | Discussion |
---|---|---|---|---|---|
1 | Tue | Aug. 22 | What is “modeling?” | ———— | ———— |
Thu | Aug. 24 | Why are you modeling? | Lauren | ———— | |
2 | Tue | Aug. 29 | Data exploration | ———— | ———— |
Thu | Aug. 31 | Data exploration | ———— | ———— | |
3 | Tue | Sep. 5 | Review of linear models, probability distributions | Ethan | ———— |
Thu | Sep. 7 | Review of linear models, probability distributions | ———— | ———— | |
4 | Tue | Sep. 12 | Model selection | Dylan | ———— |
Thu | Sep. 14 | Model selection | ———— | ———— | |
5 | Tue | Sep. 19 | Autocorrelation | Shantanou | ———— |
Thu | Sep. 21 | Autocorrelation | ———— | ———— | |
6 | Tue | Sep. 26 | Mixed models: what, why, how? | Reilly | ———— |
Thu | Sep. 28 | Mixed models: LMM | ———— | ———— | |
7 | Tue | Oct. 3 | Mixed models: GLMM | ———— | ———— |
Thu | Oct. 5 | Mixed models: confidence and diagnostics | ———— | ———— | |
8 | Tue | Oct. 10 | Generalized additive models | ———— | ———— |
Thu | Oct. 12 | No class | ———— | ———— | |
9 | Tue | Oct. 17 | No class: Fall Break | ———— | ———— |
Thu | Oct. 19 | Generalized additive models | Ben | ———— | |
10 | Tue | Oct. 24 | Hierarchical generalized additive models | Ken | ———— |
Thu | Oct. 26 | Hierarchical generalized additive models | ———— | ———— | |
11 | Tue | Oct. 31 | Guest lecture: Dr. Brandon Edwards (Intro to Bayesian statistics) | ———— | ———— |
Thu | Nov. 2 | Hello, Bayes: setting things up | Morgan | Maddie | |
12 | Tue | Nov. 7 | Hello, Bayes: running models | Rachel | Casey |
Thu | Nov. 9 | Hello, Bayes: running models | ———— | ———— | |
13 | Tue | Nov. 14 | Hello, Bayes: model diagnostics | ———— | ———— |
Thu | Nov. 16 | No class | ———— | ———— | |
14 | Tue | Nov. 21 | No class | ———— | ———— |
Thu | Nov. 23 | No class: Thanksgiving | ———— | ———— | |
15 | Tue | Nov. 28 | Writing methods and results | Jess | ———— |
Thu | Nov. 30 | Writing methods and results | ———— | ———— |