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2025-26 Fall - MATH6906P - Reading Course: Bayesian Consistency and Nonparametrics

Course

Description

Instructor(s)/Supervisor(s)/Coordinator(s): Rong TANG
The topics covered in this reading course include Bayesian consistency, general theory for posterior contraction rates, Gaussian process, and uncertainty quantification. Students should seek the course instructor’s approval to take this course.
Course period1/09/25 → 31/12/25
Course levelPG
Course formatLecture