Course Schedule - Fall Semester 2013

     

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 622 001 (CRN: 18758)

BAYESIAN DATA ANALYSIS

Long Title: BAYESIAN DATA ANALYSIS
Department: Statistics
Instructors:
Vannucci, Marina
Baladandayuthapani, Veerabhadran
Meeting: 1:00PM - 2:15PM MW (26-AUG-2013 - 6-DEC-2013) 
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 431 AND (STAT 615 OR STAT 410)
Section Max Enrollment: 19
Section Enrolled: 16
Enrollment data as of: 1-MAY-2024 10:39AM
 
Additional Fees: None
 
Final Exam: Final Exam Unknown
 
Description: 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. Mutually Exclusive: Cannot register for STAT 622 if student has credit for STAT 422.