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-calculus Part 2: Illustrating Interventions with a Toy Example Part 3: Counterfactuals ➡️️ Part 4: Causal Diagrams, Markov Factorization, Structural Equation Models One way to think about causal inference is that causal models require a more fine-grained models of the world compared to statistical models. […]
Like
0
Liked
Liked