Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results.
Kun ZhangMingming GongJoseph D. RamseyKayhan BatmanghelichPeter SpirtesClark GlymourPublished in: UAI (2018)
Keyphrases
- causal discovery
- linear non gaussian
- causal models
- causal relationships
- causal structure
- discovery process
- bayesian networks
- measurement error
- observational data
- conditional independence
- probabilistic model
- structural equation models
- directed acyclic graph
- model selection
- state space
- causal relations
- machine learning
- decision problems
- causal graph
- prior knowledge
- causal ordering