DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models.
Patrick BlöbaumPeter GötzKailash BudhathokiAtalanti-Anastasia MastakouriDominik JanzingPublished in: CoRR (2022)
Keyphrases
- causal inference
- causal models
- causal discovery
- conditional independence
- directed acyclic graph
- causal relationships
- additive noise
- structural equation models
- nonmonotonic reasoning
- observational data
- random walk
- discrete data
- abductive reasoning
- temporal reasoning
- partial order
- monte carlo
- upper bound
- prior knowledge
- learning process