Instructor: Arturas Rozenas
TA: Junlong Aaron Zhou
This Repo is publicly available
Lab materials will be uploaded here prior to each lab session.
Before the first lab, please make sure you have R and (the free version of) RStudio (https://rstudio.com) on your machine.
- Fridays 9:45am-11:15am
- Zoom Meeting
TA office hours
- Tuesdays 4:00pm-6:00pm
- Book a time slot (no more than two consecutive slots) [here]
- Week 1: R basics
- Week 2: MLE basics
- Week 3: Generalized Linear Model / Bootstrap
- Week 4: Generalized Linear Model: Application
- Week 5: Bayesian Statistics: Introduction
- Week 6: Hierachical Modeling
- Week 7: Bayesian Statistics: Computation
- Week 8: Bayesian Statistics: IRT model
- Week 9: Mixture Model
- Week 10: High dimensional Statistics
- Week 11: Nonparametric Model
- Week 12: Tree-based Model
The lab materials were created, updated, and revised by Denis Stukal, Junlong Aaron Zhou.