Math for Causal Inference
PHASE 4 · DAYS 46–60

Graphical Models (DAGs)

DAGs, d-separation, structural causal models, the back-door and front-door criteria, do-calculus and mediation.

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  1. 46
    Graph Basics & Directed Acyclic Graphs
    Coming soon
  2. 47
    Factorisation & the Markov Property
    Coming soon
  3. 48
    Chains, Forks & Colliders
    Coming soon
  4. 49
    d-Separation
    Coming soon
  5. 50
    Structural Causal Models
    Coming soon
  6. 51
    Interventions & the do-Operator
    Coming soon
  7. 52
    The Back-Door Criterion
    Coming soon
  8. 53
    Adjustment Sets & Bad Controls
    Coming soon
  9. 54
    The Front-Door Criterion
    Coming soon
  10. 55
    The Rules of do-Calculus
    Coming soon
  11. 56
    Identification Algorithms & Non-Identifiable Queries
    Coming soon
  12. 57
    Selection Bias in DAGs
    Coming soon
  13. 58
    Mediation: Direct & Indirect Effects
    Coming soon
  14. 59
    Counterfactuals & the Ladder of Causation
    Coming soon
  15. 60
    Phase 4 Capstone: DAGs Meet Potential Outcomes (SWIGs)
    Coming soon