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

Talkat Causality Boot Camp · 2022-01-18..01-22· [machine-learning]
links:none on file
slides:none on file

Introduces a concrete procedure that turns a DAG into a single-world intervention graph by node-splitting, giving an explicit factorization and a modularity rule that maps graph terms to potential outcomes; derives back-door and front-door formulas by reading d-separations on SWIGs; replaces Pearl’s third do-calculus rule with a simpler “no directed path” check; shows the method avoids making untestable cross‑world independences that nonparametric structural equations implicitly impose.

AI-written summary · about

  1. 0:00Introduction
  2. 4:20Potential Outcomes
  3. 6:29Splitting
  4. 14:15SingleWorld Intervention
  5. 19:30The Nature of SingleWorld Intervention
  6. 22:23SingleWorld Intervention Example
  7. 26:09SingleWorld Intervention Summary
  8. 26:56Modularity Assumption
  9. 27:33Dynamic Interventions
  10. 31:19Key Point
  11. 32:34Confounding
  12. 38:52Labeling
  13. 44:34Allow 3 transformations
  14. 53:11Simplifying
  15. 54:36Concrete Example
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