Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

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STT 874  Introduction to Bayesian Analysis

Semester:
Fall of odd years
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
STT 868 and STT 872
Restrictions:
Open to doctoral students in the Statistics major or approval of department.
Description:
Bayesian methods including empirical Bayes, hierarchical Bayes and nonparametric Bayes, computational methods for Bayesian inference including the Gibbs Sampler and Metropolis-Hastings method, and applications.
Effective Dates:
FS13 - US15


STT 874  Introduction to Bayesian Analysis

Semester:
Fall of even years
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
STT 868 and STT 872
Restrictions:
Open to doctoral students in the Statistics major or approval of department.
Description:
Bayesian methods including empirical Bayes, hierarchical Bayes and nonparametric Bayes, computational methods for Bayesian inference including the Gibbs Sampler and Metropolis-Hastings method, and applications.
Effective Dates:
FS15 - Open