An Introduction to Potential Outcomes, DAGs and Single-World Intervention Graphs

on YouTube ↗01h 03m

" summary

Presents a complete, constructive identification procedure: re-express P(Y|do(X)) as a sum of district-specific intervention kernels, then test each kernel for identifiability by iteratively applying a graph operation called the fixing operation that cuts incoming arrows and reweights kernels. Delivers a compact one-line ID algorithm (ancestors-of-Y after removing X-edges, check that all districts are intrinsic sets), shows worked front-door and sequential-randomization examples, and gives a simple hedge-based criterion proving nonidentifiability when the test fails.

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" chapters (15)

1. 0:00Start
2. 2:54General Identification Problem
3. 3:13Intervention Distributions
4. 3:26Intervention Distribution
5. 11:43Identification Question
6. 13:41Latent Projection
7. 17:46Lane Projection
8. 20:38Notes of Ancestral Descendants
9. 24:15Fixed and Random Nodes
10. 25:07Schmitzer Pearl Algorithm
11. 27:12Decompose the Query
12. 35:05Fixable Vertices
13. 38:11Examples
14. 51:10One Line Id Algorithm
15. 55:13Nested Markov Model

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