Causal Discovery for Linear Non-Gaussian Acyclic Models in the Presence of Latent Gaussian Confounders.
Zhitang ChenLaiwan ChanPublished in: LVA/ICA (2012)
Keyphrases
- causal discovery
- linear non gaussian
- causal models
- observational data
- causal relationships
- discovery process
- causal structure
- bayesian networks
- conditional independence
- markov blanket
- directed acyclic graph
- machine learning
- latent variables
- probabilistic model
- databases
- random variables
- model selection
- causal relations
- dynamic programming
- np hard
- learning process
- learning algorithm