7 – Causal Inference – Machine Learning Blog | ML@CMU | Carnegie Mellon University
Amazon.com: Fundamentals of Causal Inference (Chapman & Hall/CRC Texts in Statistical Science): 9780367705053: Brumback, Babette A.: Books
Vincent Arel-Bundock - Frontdoor adjustment for causal inference: A primer with examples in R
Why do we need causality in data science? | by Aleix Ruiz de Villa | Towards Data Science
Amazon.com: Causal Inference in Statistics - A Primer: 9781119186847: Pearl, Judea, Glymour, Madelyn, Jewell, Nicholas P.: Books
Women in Statistics and Data Science on Twitter: "There are many books on causal inference (I have co-authored two). Our targeted learning books on machine learning for causal inference can be downloaded
An introduction to Causal inference | R-bloggers
Amazon.com: Causal Inference in Statistics - A Primer: 9781119186847: Pearl, Judea, Glymour, Madelyn, Jewell, Nicholas P.: Books
Judea Pearl on Twitter: "Anyone with a determination to read Primer is already "up to the task", and will soon join CI. But make sure you've got the "corrected printing". How? Page
Frank Nielsen on Twitter: "Some selected books on causal inference (CI) and analysis. Recently, many interesting works on CI with information geometry! https://t.co/wcdSur9x2p https://t.co/EtbFyowZDj" / Twitter
GitHub - joaomacalos/causal_primer: My answers to the study questions in the book "Causal inference in statistics: a primer" by Judea Pearl, Madelyn Glymour and Nicholas P. Jewell