STAT 699: TOPICS IN BAYESIAN STATISTICS

Spring 2026 · Section 002 · CRN 23179

This course prepares a student for research in the statistical sciences. Topics may change each semester depending on instructor interest. Current topics include bioinformatics, computational finance, data science, Bayesian methods, mathematical tools for statistics, simulation, optimization, and dependent data, high-dimensional problems, and complex problems. Additional topics may be introduced. Contact the instructor for more information. Repeatable for Credit.

Credits
1
Instructors
Marina Vannucci

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