Summary of Chapter 12 of Imbens & Rubin, "Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction"
This month we're reading Imbens & Rubin's book on causal inference at our machine learning reading group at Columbia. It is my turn to present the next chapter of that book. Here are my summary notes for Chapter 12.
I learnt from this book that causality is fun. That hasn't happened to me before. Maybe it's just that the ideas around causal inference that we've been studying in the reading group for a decent length of time now are finally starting to click.