CourseBook :: epps7390.001.17f
Course Title: Bayesian Analysis for Social and Behavioral Sciences
Class Info:
Class Section: EPPS7390.001.17F Instruction Mode: Face-to-Face
Class Level: Graduate Activity Type: Lecture
Semester Credit Hours: 3 Class Number: 86769
Grading: Graded - Graduate Session Type: Regular Academic Session
Add Consent: No Consent Orion Date/Time: 2017-12-18 04:47:20
Status: Class Status: OPEN    Available Seats: 2    Enrolled Total: 26    Waitlist: 0
Description: EPPS 7390 - Bayesian Analysis for Social and Behavioral Sciences (3 semester credit 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: 17F
Type: Regular Academic Session
Starts: August 21, 2017
Ends: December 14, 2017

August 21, 2017-December 6, 2017
GR 3.402A

GR Building
Floor 3 - Room 3.402A
  • Date: December 12, 2017   Time: 5:00pm-7:45pm   Location: GR 3.402A
College: School of Economic, Political and Policy Sciences
Syllabus: Syllabus for Bayesian Analysis for Social and Behavioral Sciences (EPPS7390.001.17F)
Evaluation: An evaluation report for Bayesian Analysis for Social and Behavioral Sciences (EPPS7390.001.17F) hasn't been posted.
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