Course Schedule - Fall Semester 2021

     

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 425 001 (CRN: 11563)

INTRO TO BAYESIAN INFERENCE

Long Title: INTRODUCTION TO BAYESIAN INFERENCE
Department: Statistics
Instructor: Vannucci, Marina
Meeting: 2:30PM - 3:45PM TR (23-AUG-2021 - 3-DEC-2021) 
Part of Term: 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):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisites: STAT 410 AND STAT 405 OR COMP 210 OR COMP 140 OR COMP 130
Section Max Enrollment: 24
Section Enrolled: 12
Enrollment data as of: 1-MAR-2024 3:29PM
 
Additional Fees: None
 
Final Exam: Scheduled Final Exam-OTR Room
Final Exam Time:
13-DEC-2021  
7:00PM - 10:00PM M
 
Description: This course is an introduction to Bayesian inference, with emphasis on concepts and methods for analyzing data. We will consider a variety of models, including MCMC algorithms and methods for linear regression and hierarchical models. Computational methods will be emphasized. Recommended Prerequisite(s): STAT 411 or CAAM 335 or MATH 355.