On the Complexity of the Conditional Independence Implication Problem with Bounded Cardinalities.
Michal MakowskiPublished in: MFCS (2024)
Keyphrases
- conditional independence
- bayesian networks
- graphical models
- random variables
- causal models
- probability distribution
- learning bayesian networks
- structure learning
- bayesian network structure
- axiomatic characterization
- directed acyclic graph
- worst case
- possibility theory
- structure and parameter learning
- statistical independence
- gaussian model
- conditional independencies
- causal discovery
- causal graph
- markov blanket
- statistical data
- probabilistic inference
- probabilistic model
- feature selection