Course Schedule and Catalog
Course Schedule - Fall Semester 2021
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 MXF 251 (23-AUG-2021 - 3-DEC-2021)
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):
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: 30-MAY-2023 2:21AM
Final Exam: Scheduled Final Exam-OTR Room
Final Exam Time:
13-DEC-2021
7:00PM - 10:00PM M MXF 251
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.