STAT 438
Bayesian Statistics
Texas A&M University · UGRD · Fall 2026
1 section
Catalog description
Credits 3. 3 Lecture Hours. Analysis of scalar and vector-valued parameters; Bayesian linear models; Monte Carlo computational methods; prior elicitation; hypothesis testing and model selection; hierarchical models; selected advanced models; use of statistical packages such as WinBUGS, R or MATLAB. Prerequisites: MATH 221 ; STAT 408 or equivalent.
Sections
Current meeting, instructor, credit, and enrollment details
001
Availability not recently verifiedClass #texas_am-7591Fall 2026UGRD
- Days & times
- No scheduled meeting time
- Meeting dates
- —
- Location
- —
- Instructor
- Staff
Class numbers and section codes come from the registrar.
Spot missing or incorrect course data?