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#152 A Bayesian decision theory workflow, with Daniel Saunders

Learning Bayesian Statistics

00:00

Vectorizing posterior optimization with PyTensor

Daniel explains replacing random variables with posterior samples and averaging inside the graph for efficient expected objectives.

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