Estimation of linear, non-gaussian causal models in the presence of confounding latent variables
Patrik O. HoyerShohei ShimizuAntti J. KerminenPublished in: CoRR (2006)
Keyphrases
- causal models
- latent variables
- observed variables
- linear non gaussian
- causal discovery
- causal relationships
- structural model
- causal ordering
- random variables
- probabilistic model
- directed acyclic graph
- conditional independence
- observational data
- causal relations
- latent variable models
- gaussian process
- prior knowledge
- causal structure
- structural svms
- causal graph
- topic models
- structural equation models
- hidden variables
- graphical models
- training data
- np hard
- databases
- causal effects
- computer mediated
- co occurrence