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Search Results
| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
EPPS 7390 (Overall) | |||||
EPPS 7390 Patrick Brandt | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
EPPS 7390 (Overall) | |||||
EPPS 7390 Patrick Brandt | |||||
Bayesian Analysis for Social and Behavioral Sciences
EPPS 7390
School of Economic, Political and Policy Sciences
This course covers the theory and application of Bayesian statistics for economic, political, and other social science data. Students will learn how maximum likelihood and Bayesian estimation are related and how the latter is used to develop decision based inference. Topics include subjective probability, general linear models, posterior simulation methods, model specification and averaging, and sensitivity analysis. 3 credit hours.
Prerequisite: EPPS 7316 or equivalent.
Offering Frequency: Every two years
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
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Bayesian Analysis for Social and Behavioral Sciences
EPPS 7390
School of Economic, Political and Policy Sciences
This course covers the theory and application of Bayesian statistics for economic, political, and other social science data. Students will learn how maximum likelihood and Bayesian estimation are related and how the latter is used to develop decision based inference. Topics include subjective probability, general linear models, posterior simulation methods, model specification and averaging, and sensitivity analysis. 3 credit hours.
Prerequisite: EPPS 7316 or equivalent.
Offering Frequency: Every two years
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
Click a checkbox to add something to compare.