Sufficiency and Necessity Assumptions in Causal Structure Induction.
Ralf MayrhoferMichael R. WaldmannPublished in: Cogn. Sci. (2016)
Keyphrases
- causal structure
- observational data
- causal bayesian networks
- causal discovery
- experimental data
- causal relationships
- causal models
- causal ordering
- discovery process
- inductive learning
- causal graph
- directed acyclic graph
- machine learning
- sample size
- latent variables
- upper bound
- knowledge discovery
- data analysis
- causal effects
- bayesian networks