MIT Intro to Causal Inference 2023

Credit

• The best resource for getting started is Richard McElreath's outstanding lecture series Statistical Rethinking 2023.
• The full notebooks have been converted to Python/PyMC 5 by Dustin Stanbury and are available here
• This repository is a consolidation of the notebooks from the above two sources, with some additional notes and exercises.
• The slides for the accompanying lectures are available here

Setup

To run locally you will need to install the following:

$ git clone https://github.com/Gallifantjack/mit_causal_inference_intro.git
$ conda env create -f mit_causal_inference_intro.yml
$ conda activate mit_causal_inference_intro