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Hierarchical Bayesian Models

Lecturer: Vaclav Smidl

Lesson 1: Review of probability and trivial models

 

Lesson 2: Prior and Approximations 

 

Lesson 3: Linear Regression

Lesson 4: Mixture Models

Lesson 5: Recapitulation and Patlak Challenge

Lesson 6: Monte Carlo Methods

 

Lesson 7: Hands on

 

 

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