Course ID
042982
Course Description
This course is an introduction to Bayesian statistics inference and Bayesian computation. Topics includes Bayes rule, basic Bayesian formulation, conjugate priors, posterior mean and variance, hierarchical models, credible intervals, Bayesian calculations for common models, Markov chain Monte Carlo, and how to use open-source software (R, JAGS and Stan) for Bayesian computation.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Undergraduate
Enrollment Requirements
019261
Component
Lecture
Optional Component
No