Causal Discovery with Hidden Confounders using the Algorithmic Markov Condition.
David KaltenpothJilles VreekenPublished in: UAI (2023)
Keyphrases
- causal discovery
- observational data
- conditional independence
- directed acyclic graph
- causal models
- causal relationships
- causal structure
- bayesian networks
- discovery process
- sufficient conditions
- random variables
- markov blanket
- markov chain
- experimental data
- markov fields
- knowledge discovery
- probability distribution
- information retrieval
- structure learning
- graphical models
- structural equation models
- databases