Bayesian Statistics
CAS MA 578
Prerequisites: CASMA 575 or consent of instructor. - The principles and methods of Bayesian statistics. Subjective probability, Bayes rule, posterior distributions, predictive distributions. Computationally based inference using Monte Carlo integration, Markov chain simulation. Hierarchical models, mixture models, model checking, and methods for Bayesian model selection.
FALL 2026 Schedule
| Section | Instructor | Location | Schedule | Notes |
|---|---|---|---|---|
| A1 | Ghassami | COM 213 | TR 11:00 am-12:15 pm | Students registering for MA578 A1 must register for a DIS section B1 |
FALL 2026 Schedule
| Section | Instructor | Location | Schedule | Notes |
|---|---|---|---|---|
| B1 | Ghassami | CAS 222 | W 9:05 am-9:55 am |
Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.
