The Frugal Parameterization for Bayesian Causal Inference in PyMC

In this notebook we provide an introduction to the frugal parameterization for Bayesian causal inference, developed in the paper “Parameterizing and simulating from causal models”, (Evans & Didelez, 2024) . We illustrate the concepts with a simple example using synthetic data and an explicit PyMC implementation. &#xA; The authors of the frugal parameterization (Evans & Didelez, 2024) have…