Choosing Priors in Bayesian Analysis: A Gentle Guide
A practical, example-driven walkthrough on how to choose priors in Bayesian modeling with real data, PyMC code, and a few lessons learned along the way.
A practical, example-driven walkthrough on how to choose priors in Bayesian modeling with real data, PyMC code, and a few lessons learned along the way.
Learn the basics of Bayesian linear regression using the excellent PyMC Probabilistic Programming package. This focuses on model formulation in PyMC, interpretation, and how to make predictions on out-of-sample data.