Course Schedule - Fall Semester 2018

     

STAT 525 001 (CRN: 12962)

BAYESIAN STATISTICS

Long Title: BAYESIAN STATISTICS
Department: Statistics
Instructor: Kowal, Daniel R.
Meeting: 2:30PM - 3:45PM TR DCH 1064 (20-AUG-2018 - 30-NOV-2018) 
Session: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
 
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 49
Section Enrolled: 35
Enrollment data as of: 20-MAY-2022 9:46AM
 
Additional Fees: None
 
Final Exam: GR Course-Dept Schedules Exam
 
Description: This course covers Bayesian Inference and 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. Recommended Prerequisite(s): STAT 519 and STAT 615 and STAT 605.