Course Schedule and Catalog
Course Schedule - Spring Semester 2020
STAT 648 001 (CRN: 23849)
GRAPH MODELS & NETWORKS
Long Title: GRAPHICAL MODELS AND NETWORKS
Department: Statistics
Instructor: Schweinberger, Michael
Meeting: 4:00PM - 5:15PM TR MEL 251 (13-JAN-2020 - 24-APR-2020)
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 519
Section Max Enrollment: 49
Section Enrolled: 13
Enrollment data as of: 8-DEC-2023 2:49AM
Final Exam: GR Course-Dept Schedules Exam
Description: Graphical models – aka Bayes networks, Markov networks, Gaussian networks, etc. – have been widely used to represent complex phenomena with dependence. The course aims to stimulate interest in graphical models and covers directed and undirected graphical models, exponential-family representations of graphical models, statistical inference, finite-sample and large-sample properties, and applications.