10 - Causal Discovery from Observational Data

In the 10th week of the Introduction to Causal Inference online course, we cover causal discovery from observational data. Please post questions in the YouTube comments section. Introduction to Causal Inference Course Website: causalcourse.com 0:00 Intro 1:14 Outline 1:48 Assumptions for Independence-Based Causal Discovery 7:15 Markov Equivalence and Main Theorem 18:44 The PC Algorithm 32:43 Can We Do Better? 34:17 Issues with Independence-Based Causal Discovery 35:24 No Identifiability Without Parametric Assumptions 39:40 Linear Non-Gaussian Setting 46:48 Nonlinear Additive Noise Setting