All that likelihood with PyMC3 - Junpeng Lao

PyData Berlin 2018
The likelihood is a central concept in Bayesian computation. In this tutorial, we will learn about what is the likelihood function and how do we use it for inference. Using PyMC3, I will demonstrate how to get the likelihood from a model, how does it connect to inference using NUTS or Variational approximation, and some practical usage of the model likelihood to perform model comparisons.
Slides: github.com/junpenglao/All-tha...
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