Disentangling causality: assumptions in causal discovery and inference.
Maarten C. VonkNinoslav MalekovicThomas BäckAnna V. KononovaPublished in: Artif. Intell. Rev. (2023)
Keyphrases
- causal discovery
- observational data
- causal models
- causal inference
- causal relationships
- bayesian networks
- causal structure
- linear non gaussian
- discovery process
- experimental data
- directed acyclic graph
- causal effects
- causal relations
- latent variables
- markov blanket
- conditional independence
- graphical models
- probabilistic model
- causal graph
- data mining
- bayesian inference
- belief networks
- sample size
- data analysis
- learning environment
- real world
- structural equation models
- causal ordering
- databases