Course Schedule - Spring Semester 2018

     

STAT 625 001 (CRN: 24980)

ADVANCED BAYESIAN INFERENCE

Long Title: ADVANCED BAYESIAN INFERENCE
Department: Statistics
Instructor: Li, Meng
Meeting: 10:50AM - 12:05PM TR AEL A121 (8-JAN-2018 - 20-APR-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
Prerequisites: STAT 525
Section Max Enrollment: 49
Section Enrolled: 12
Enrollment data as of: 27-JAN-2022 10:52PM
 
Additional Fees: None
 
Final Exam: GR Course-Dept Schedules Exam
 
Description: This course focuses on the Bayesian inference with emphasis on theory and applications. In this course, we will cover advancements and challenges in modern Bayesian inference, and illustrate a variety of theoretical and computational methods, simulation techniques, and hierarchical models that are suitable to analyze complex data. Repeatable for Credit.