Instructor: Caleb Roberts

Tentative Schedule

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 ———— ————