CourseBook :: epps7390.001.13f
Course Title: Bayesian Analysis for Social and Behavioral Sciences
Class Info:
Class Section: EPPS7390.001.13F Instruction Mode: Face-to-Face
Class Level: Graduate Activity Type: Lecture
Semester Credit Hours: 3 Class Number: 89383
Grading: Graded - Graduate Session Type: Regular Academic Session
Add Consent: No Consent Orion Date/Time: 2017-12-18 06:46:00
Status: Class Status: OPEN    Available Seats: 16    Enrolled Total: 14    Waitlist: 0
Description: EPPS 7390 - Bayesian Analysis for Social and Behavioral Sciences (3 semester hours) 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. Prerequisite: EPPS 7316 or equivalent. (3-0) R
Enrollment Reqs:
  • Prerequisite: EPPS 7316.
Patrick Brandt      email:

Class Location and Times

Term: 13F
Type: Regular Academic Session
Starts: August 26, 2013
Ends: December 19, 2013

August 26, 2013-December 11, 2013
SLC 1.204

SLC Building
Floor 1 - Room 1.204
  • Date: December 18, 2013   Time: 5:00pm-7:45pm   Location: SLC 1.204
College: School of Economic, Political and Policy Sciences
Syllabus: Syllabus for Bayesian Analysis for Social and Behavioral Sciences (EPPS7390.001.13F)
Evaluation: An evaluation report for Bayesian Analysis for Social and Behavioral Sciences (EPPS7390.001.13F) hasn't been posted.
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