Inferring Causal Direction from Observational Data: A Complexity Approach.
Nikolaos NikolaouKonstantinos SechidisPublished in: CoRR (2020)
Keyphrases
- observational data
- causal structure
- causal discovery
- experimental data
- causal bayesian networks
- causal models
- causal relationships
- causal effects
- causal inference
- directed acyclic graph
- causal graph
- sample size
- latent variables
- computational complexity
- worst case
- causal relations
- bayesian networks
- conditional independence
- machine learning
- prior knowledge
- causal networks
- dynamic programming
- state space
- causal reasoning
- graphical models
- data mining
- decision problems