A Bayesian Decision Theory Workflow: Port to NumPyro

In this notebook I explore the Bayesian Decision Theory Workflow described in the amazing blog post A Bayesian Decision Theory Workflow by Daniel Saunders . It is a great resource to understand how to use Bayesian methods for optimization problems. In the original post, Daniel explains the theory and key concepts using PyMC and its computational backend PyTensor . He does a remarkable job…