High-dimensional causal discovery based on heuristic causal partitioning.
Yinghan HongJunping GuoGuizhen MaiYingqing LinHao ZhangZhifeng HaoGengzhong ZhengPublished in: Appl. Intell. (2023)
Keyphrases
- causal discovery
- high dimensional
- causal models
- causal relationships
- causal structure
- bayesian networks
- causal inferences
- discovery process
- directed acyclic graph
- observational data
- optimal solution
- markov blanket
- feature space
- low dimensional
- similarity search
- dynamic programming
- causal effects
- high dimensionality
- conditional independence
- variable selection
- causal relations
- data sets
- parameter space
- causal ordering
- data mining
- experimental data
- knowledge discovery