Welcome to STATS 115 - Introduction to Bayesian Data Analysis in Winter 2024
Basic Bayesian concepts and methods with emphasis on data analysis. Special emphasis on specification of prior distributions. Includes linear, logistic, and Poisson regression.
Prerequisite: STATS 120C
Recommended STATS 110
By the end of this course you will be able to: - distinguish frequentist and Bayesian approaches to data analysis; - choose appropriate prior distributions for a Bayesian model; - use Stan to fit Bayesian models; - interpret Bayesian model results.
Typical Weekly Workflow
- Monday 9:00 - 10:00 am | Dr. Dogucu's office hours.
- Monday 1:30 pm | Previous week's homework due
- Monday 2:00 - 3:20 pm | Lecture
- Wednesday 9:00 - 9:50 am | Discussion
- Wednesday 2:00 - 3:20 pm | Lecture
- Thursday 5:00 - 6:00 pm | Zahra's office hours
- Friday 2:00 - 3:00 pm | Zahra's office hours
Midterm exam on Feb 12, 2024 at 2:00 - 3:20 pm in class
Project proposal due Feb 21, 2024 at 11:59 pm online
Project submission due Mar 22nd at 1:00 pm online
Project peer evaluation on Mar 22nd at 1:30 - 3:30 pm online