Causal inference 4: Causal Diagrams, Markov Factorization, Structural Equation Models

This post is written with my PhD student and now guest author Patrik Reizinger and is part 4 of a series of posts on causal inference:Part 1: Intro to causal inference and do-calculusPart 2: Illustrating Interventions with a Toy ExamplePart 3: Counterfactuals➡️️ Part 4: Causal Diagrams, Markov Factorization, Structural Equation ModelsOne way to think about causal inference is that causal models require a more fine-grained models of the world compared to statistical models. Many causal models are...