Instructor: Arturas Rozenas

TA: Junlong Aaron Zhou

This Repo is publicly available

Syllabus

syllabus

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.

Lab info

• 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]

Schedule

• 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

Credits

The lab materials were created, updated, and revised by Denis Stukal, Junlong Aaron Zhou.