BIOS 902
Biostatistics - Bayesian Statistics
University of Kansas · Fall 2026
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Catalog description
This course introduces Bayesian theory and methods for data analysis. The course includes an overview of the Bayesian approach to statistical inference, performance of Bayesian procedures, Bayesian computational issues, model criticism, and model selection. Case studies from a variety of fields are incorporated into the course. Implementation of models using Markov chain Monte Carlo methods is emphasized. Prerequisite: BIOS 871 and BIOS 872, or permission of instructor. BIOS 820 recommended.
Sections
Current meeting, instructor, credit, and enrollment details
1001
5 openSeats: 5/10 seats Last recorded: Jul 30, 2026, 1:16 AMClass #15233Fall 20263 credits
5 available5 enrolled10 capacity
- Days & times
- Tu Th · 2:30 – 3:50 PM
- Meeting dates
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- Location
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- Instructor
- Staff
Section notes
Source career: GRDK; Dept Req
Details checked 15 hours agoSeats checked 15 hours ago
Class numbers and section codes come from the registrar.
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