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2024 Fall
Jan 15, 2025
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STAT 362 - Bayesian Statistics
An introduction to Bayesian methods; Bayesian inference for discrete random variables, binomial proportions, and normal means; comparisons between Bayesian and frequentist inferences; robust Bayesian methods. ***Prerequisite: STAT 252 and CS 110.***
0.000 OR 3.000 Credit hours
0.000 OR 3.000 Lecture hours
0.000 OR 1.000 Lab hours

Levels: Undergraduate
Schedule Types: Lecture, Lab, Examination
All Sections for this Course

Mathematics & Statistics Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Undergraduate
      Graduate

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Release: 8.7.2.4