Course Schedule - Spring 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 625 001 (CRN: 23848)

ADVANCED BAYESIAN INFERENCE

Long Title: ADVANCED BAYESIAN INFERENCE
Department: Statistics
Instructor: Li, Meng
Meeting: 10:50AM - 12:05PM TR (13-JAN-2020 - 24-APR-2020) 
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):
Graduate
Prerequisites: STAT 525
Section Max Enrollment: 49
Section Enrolled: 11
Enrollment data as of: 21-APR-2024 6:58AM
 
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.