Causal Discovery in Linear Models with Unobserved Variables and Measurement Error.
Yuqin YangMohamed S. NafeaNegar KiyavashKun ZhangAmirEmad GhassamiPublished in: CoRR (2024)
Keyphrases
- causal discovery
- causal relationships
- linear models
- measurement error
- causal effects
- observational data
- causal models
- observed variables
- causal relations
- bayesian networks
- latent variables
- variable selection
- range images
- directed acyclic graph
- data mining
- experimental data
- influence diagrams
- linear regression
- discovery process
- active learning