STAT 438: Bayesian Statistics
Course Description
Credits 3.
3 Lecture Hours.Analysis of scalar and vector-valued parameters; Bayesian linear models; Monte Carlo computational methods; prior elicitation; hypothesis testing and model selection; hierarchical models; selected advanced models; use of statistical packages such as WinBUGS, R or MATLAB.Prerequisites:MATHÂ 221;STATÂ 408or equivalent.