README.md

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