Bayesian analysis of statistical models, prior and posterior distributions, computing methods, interpretation.
This course requires proctored exams. Details will be provided in the course syllabus.
This course can be applied toward:
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 email@example.com. 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.
Textbooks and Materials
Textbooks and materials can be purchased at the CSU Bookstore unless otherwise indicated.
- Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians*
Christensen, R., Johnson, W., Branscum, A. and Hanson, T.E.
*Either openBUGS or JAGS software is used.