Course Schedule - Fall Semester 2004

     

Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).
Additional information available here.

STAT 422 001 (CRN: 21532)

BAYESIAN DATA ANALYSIS

Long Title:
Department: Statistics
Instructors:
Rosner, Gary L.
Muller, Peter
Meeting: 4:00PM - 5:20PM TR (23-AUG-2004 - 15-DEC-2004) 
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
 
Prerequisites: STAT 410
Section Max Enrollment: 500
Section Enrolled: 13
Enrollment data as of: 15-MAY-2024 3:42AM
 
Additional Fees: None
 
Final Exam: Final Exam Unknown
 
Description: BAYESIAN DATA ANALYSIS ***** This course will cover Bayesian methods for analyzing data. The emphasis will be on applied data analysis rather than theoretical development. We will consider a variety of models, including linear regression, hierarchical models, and models for categorical data. ***** Prerequisite(s): STAT 410. ***** Course offered Fall semester.