From Causal Models to Sound Heuristic Inference.
Ana Sofia MoraisLael SchoolerHenrik OlssonBjörn MederPublished in: CogSci (2014)
Keyphrases
- causal models
- causal inference
- causal discovery
- conditional independence
- causal reasoning
- causal relations
- structural model
- causal relationships
- directed acyclic graph
- optimal solution
- structural equation models
- observational data
- bayes nets
- conditional independencies
- bayesian networks
- causal structure
- causal graph
- probabilistic inference
- dynamic programming
- additive noise
- search algorithm
- latent variables
- probability distribution
- probabilistic model