Fast Causal Division for Supporting High Dimensional Causal Discovery.
Guizhen MaiShiguo PengYinghan HongPinghua ChenPublished in: CSE/EUC (1) (2017)
Keyphrases
- causal discovery
- high dimensional
- causal models
- causal relationships
- causal structure
- discovery process
- causal inferences
- bayesian networks
- conditional independence
- directed acyclic graph
- causal relations
- high dimensionality
- low dimensional
- dimensionality reduction
- parameter space
- observational data
- high dimensional data
- variable selection
- data sets
- markov blanket
- sample size
- feature space
- learning algorithm