Repetitive causal discovery of linear non-Gaussian acyclic models in the presence of latent confounders.
Takashi Nicholas MaedaShohei ShimizuPublished in: Int. J. Data Sci. Anal. (2022)
Keyphrases
- linear non gaussian
- causal discovery
- causal ordering
- causal models
- observational data
- causal relationships
- causal structure
- discovery process
- directed acyclic graph
- bayesian networks
- conditional independence
- markov blanket
- structural equation models
- data mining
- experimental data
- information retrieval
- generating explanations
- sensitivity analysis
- text mining