Course Schedule - Fall Semester 2018

     

STAT 425 001 (CRN: 12961)

INTRO TO BAYESIAN INFERENCE

Long Title: INTRODUCTION TO BAYESIAN INFERENCE
Department: Statistics
Instructor: Vannucci, Marina
Meeting: 2:30PM - 3:45PM TR DCH 1075 (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):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisites: STAT 410 AND STAT 405 OR COMP 210 OR COMP 140 OR COMP 130
Section Max Enrollment: 49
Section Enrolled: 11
Enrollment data as of: 19-MAY-2022 10:18AM
 
Additional Fees: None
 
Final Exam: Scheduled Final Exam-OTR Room
Final Exam Time:
10-DEC-2018  
2:00PM - 5:00PM M DCH 1075
 
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.