Advanced Modeling and Inference

Lecture, three hours; discussion, one hour. Strongly recommended requisites: courses 200B, 201B. Designed for graduate students. Introduction to advanced topics in statistical modeling and inference, including Bayesian hierarchical models, missing data problems, mixture modeling, additive modeling, hidden Markov models, and Bayesian networks. Coverage of computational methods used and developed for these models and problems, such as EM algorithm, data augmentation, dynamic programming, and belief propagation. S/U or letter grading.

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Enrollment Progress

Mar 9, 3 PM PST
LEC 1: 26/40 seats taken (Open)
First passPriority passSecond pass1 day4 days7 days10 days13 days16 days18 days21 days24 days0204060

Section List

  • LEC 1

    Closed

    TR, R, T 3:30pm-4:45pm, 3:30pm-4:45pm, 3:30pm-4:45pm

    Royce Hall 160, Mathematical Sciences 3915H, Mathematical Sciences 3915D

Course

Previously taught
24S 23S 22S 18S 17S 16S 15S 14S 13S 12S 11S 10S 09S

Previous Grades

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