Estimation of linear, non-gaussian causal models in the presence of confounding latent variables.
Patrik O. HoyerShohei ShimizuAntti J. KerminenPublished in: Probabilistic Graphical Models (2006)
Keyphrases
- causal models
- latent variables
- observed variables
- linear non gaussian
- causal discovery
- causal relationships
- structural model
- probabilistic model
- random variables
- causal ordering
- structural equation models
- causal structure
- observational data
- causal relations
- conditional independence
- latent variable models
- directed acyclic graph
- topic models
- gaussian process
- prior knowledge
- causal graph
- graphical models
- hidden variables
- discovery process
- learning algorithm
- random walk