A constraint-based approach to incorporate prior knowledge in causal models.
Giorgos BorboudakisSofia TriantafilouVincenzo LaganiIoannis TsamardinosPublished in: ESANN (2011)
Keyphrases
- causal models
- prior knowledge
- causal discovery
- structural model
- causal relationships
- conditional independence
- causal reasoning
- causal structure
- causal relations
- directed acyclic graph
- causal graph
- structural equation models
- prior information
- generative model
- domain knowledge
- tractable cases
- training data
- causal inference
- latent variables
- observational data
- random walk
- bayesian framework
- sensitivity analysis
- higher education
- knowledge discovery
- e learning
- diagnostic problem solving