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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Course Descriptions: Search Results

EPI 465 Bayesian Statistical Methods

Semester:
Fall of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Prerequisite:
STT 442
Restrictions:
A student may earn a maximum of 0 credits none
Description:
Probability, belief, and exchangeability. Objective, subjective, and empirical Bayes approaches. Applications to one-parameter models, linear regression models, and multivariate normal models. Hierarchical modeling. Computational methods.
Interdepartmental With:
Statistics and Probability
Administered By:
Statistics and Probability
Effective Dates:
FS15 - FS24

EPI 465 Bayesian Statistical Methods

Semester:
Fall of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Prerequisite:
STT 442 or STT 380
Description:
Probability, belief, and exchangeability. Objective, subjective, and empirical Bayes approaches. Applications to one-parameter models, linear regression models, and multivariate normal models. Hierarchical modeling. Computational methods.
Interdepartmental With:
Statistics and Probability
Administered By:
Statistics and Probability
Effective Dates:
SS25 - Open

STT 465 Bayesian Statistical Methods

Semester:
Fall of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Prerequisite:
STT 442 or STT 380
Description:
Probability, belief, and exchangeability. Objective, subjective, and empirical Bayes approaches. Applications to one-parameter models, linear regression models, and multivariate normal models. Hierarchical modeling. Computational methods.
Interdepartmental With:
Epidemiology
Administered By:
Statistics and Probability
Effective Dates:
SS25 - Open

STT 465 Bayesian Statistical Methods

Semester:
Fall of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Prerequisite:
STT 442
Restrictions:
A student may earn a maximum of 0 credits none
Description:
Probability, belief, and exchangeability. Objective, subjective, and empirical Bayes approaches. Applications to one-parameter models, linear regression models, and multivariate normal models. Hierarchical modeling. Computational methods.
Interdepartmental With:
Epidemiology
Administered By:
Statistics and Probability
Effective Dates:
FS15 - FS24

STT 465 Bayesian Statistical Methods

Semester:
Fall of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Prerequisite:
STT 442
Restrictions:
A student may earn a maximum of 0 credits none
Description:
Probability, belief, and exchangeability. Objective, subjective, and empirical Bayes approaches. Applications to one-parameter models, linear regression models, and multivariate normal models. Hierarchical modeling. Computational methods.
Effective Dates:
FS14 - US15