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2025-26 Fall - MATH6906P - Reading Course: Bayesian Consistency and Nonparametrics
Rong TANG
Department of Mathematics
Course
Description
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 period
1/09/25
→
31/12/25
Course level
PG
Course format
Lecture
X