Bayesian Statistics
Texas A & M University-College Station
CourseSTAT 438
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.
Credits
3 credits
Course Code
STAT 438
Related Courses
Prerequisites, corequisites, and courses that build on this one
Prerequisites
Complete these courses before enrolling