MATH401L - Bayesian Analysis

3 Credit(s)

Liberal Arts
This course is an introduction Bayesian statistical analysis. Theory as well as applied R, JAGS and Stan code are covered. Highest density intervals, MCMC techniques, multilevel hierarchical models, and diagnostic tools are covered for an array of regression models. Frequentist and Bayesian philosophies and approaches are contrasted.

Offered When: Every other year.
Prerequisite(s): MATH 343L, MATH 330L or permission of the instructor.