Causal Structure Discovery from Distributions Arising from Mixtures of DAGs.
Basil SaeedSnigdha PanigrahiCaroline UhlerPublished in: CoRR (2020)
Keyphrases
- causal structure
- causal discovery
- directed acyclic graph
- causal models
- observational data
- random variables
- heavy tailed distributions
- heavy tailed
- causal relationships
- probability distribution
- causal ordering
- conditional independence
- discovery process
- bayesian networks
- causal relations
- experimental data
- causal graph
- mixture model
- latent variables
- directed graph
- causal effects
- causal bayesian networks
- model checking
- special case
- decision making
- machine learning