Course Schedule - Fall Semester 2020

     

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 525 901 (CRN: 12259)

BAYESIAN STATISTICS

Long Title: BAYESIAN STATISTICS
Department: Statistics
Instructor: Kowal, Daniel
Meeting: 3:10PM - 4:30PM TR (24-AUG-2020 - 4-DEC-2020) 
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Online
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: 24
Section Enrolled: 12
Enrollment data as of: 17-JUL-2024 6:31PM
 
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.