STAA 575 - Applied Bayesian Statistics

  • 2 credits

Bayesian analysis of statistical models, prior and posterior distributions, computing methods, interpretation.

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.

Important Information

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 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

Please contact the Department of Statistics for more information.


Matt Koslovsky

(512) 786-6187 |

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