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Fakultät für Informatik

Causality

Contents:

  • Directed acyclic graphs, causal graphs
  • Conditional independence
  • PC algorithm
  • Structural equation models
  • Additive noise models
  • Interventions
  • Counterfactuals
  • Markov equivalence
  • Faithfulness
  • Distinguishing cause and effect