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MIT Subject Listing & Schedule
IAP / Spring 2019 Search Results

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6.435 Bayesian Modeling and Inference
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Graduate (Spring)
Prereq: 6.436 and 6.867
Units: 3-0-9
Lecture: TR2.30-4 (24-121)
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Covers Bayesian modeling and inference at an advanced graduate level. Topics include de Finetti's theorem, decision theory, approximate inference (modern approaches and analysis of Monte Carlo, variational inference, etc.), hierarchical modeling, (continuous and discrete) nonparametric Bayesian approaches, sensitivity and robustness, and evaluation.
T. Broderick
No textbook information available