Confidence in causal discovery with linear causal models.
David StriederTobias FreidlingStefan HaffnerMathias DrtonPublished in: UAI (2021)
Keyphrases
- causal discovery
- causal models
- structural equation models
- causal structure
- causal relationships
- directed acyclic graph
- conditional independence
- markov blanket
- causal ordering
- structural model
- causal relations
- causal inference
- discovery process
- bayesian networks
- linear non gaussian
- causal reasoning
- real world
- machine learning