Bayesian analysis of statistical models, prior and posterior distributions, computing methods, interpretation.
This course has print-based exams that require a proctor. A Distance Proctor Form will be required. Electronic proctoring is not available for this.
This course can be applied towards:
STAA 552 (Generalized Regression Models); STAA 562 (Mathematical Statistics with Applications) or STAT 530 (Mathematical Statistics); STAA 567 (Computational and Simulation Methods) or written consent of instructor. This is a partial-semester course.
Tuition includes access to lecture recordings which are available by streamed video. Lecture recordings may also be available by download or on DVD. To determine viewing options, contact the Department of Statistics degree program staff at firstname.lastname@example.org. Visit the Department of Statistics website to learn more about what to do after registration, including creating your eID (if necessary) and accessing your course.
Textbook and Materials