Everything that can be learned about a causal structure with latent variables by observational and interventional probing schemes.
Marina Maciel AnsanelliElie WolfeRobert W. SpekkensPublished in: CoRR (2024)
Keyphrases
- observational data
- latent variables
- causal structure
- latent space
- probabilistic model
- causal effects
- causal ordering
- latent variable models
- causal relationships
- random variables
- causal bayesian networks
- experimental data
- gaussian process
- prior knowledge
- topic models
- structural svms
- hidden variables
- domain specific
- data sets
- directed acyclic graph
- graphical models
- probability distribution