Detailed Course Information |
Spring 2015
Oct 22, 2025 |
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| PHP 2530 - Bayesian Statistical Methods |
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Surveys the state of the art in Bayesian methods and their applications. Discussion of the fundamentals followed by more advanced topics including hierarchical models, Markov Chain Monte Carlo, and other methods for sampling from the posterior distribution, robustness, and sensitivity analysis, and approaches to model selection and diagnostics. Features nontrivial applications of Bayesian methods from diverse scientific fields, with emphasis on biomedical research. Prerequisites: APMA 1650, PHP 2510, PHP 2511, or equivalent. Open to advanced undergraduates with permission from the instructor.
1.000 Credit hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Public Health Department Restrictions: Must be enrolled in one of the following Levels: Graduate Prerequisites: Undergraduate level APMA 1650 Minimum Grade of S or Graduate level PHP 2510 Minimum Grade of S or Graduate level PHP 2511 Minimum Grade of S |
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