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Causality - Tutorial for Nordic Prob AI 2024

Presentation slides: 202406_ProbAI_causality.pdf

The tutorial at NordicProbAI2024_Causality.ipynb covers two topics:

Part I: Causal Modeling and Effect Identification from Causal Diagrams:

  • Adjustment Criterion -- pcalg R package
  • ID Algorithm -- causaleffect R package

Part II: Causal Discovery and Effect Identification from the Markov Equivalence Class

  • Generalized Adjustment Criterion (GAG) -- pcalg R package
  • CIDP Algorithm -- PAGId R package