S-Independence and S-Conditional independence with respect to Upper and Lower Conditional Probabilities Assigned by Hausdorff Outer and Inner Measures.
Serena DoriaPublished in: ISIPTA (2005)
Keyphrases
- conditional independence
- conditional probabilities
- bayesian networks
- random variables
- probability distribution
- bayesian network structure
- causal independence
- probabilistic inference
- graphical models
- probability measures
- joint distribution
- structure learning
- belief networks
- learning bayesian networks
- statistical independence
- bayesian belief networks
- posterior probability
- possibility theory
- independence assumption
- markov networks
- probability theory
- conditional independence tests
- axiomatic characterization
- causal models
- directed acyclic graph
- conditional independencies
- probabilistic model
- marginal distributions
- parameter learning
- approximate inference
- causal discovery
- latent variables
- chain graphs
- junction tree
- joint probability
- belief propagation
- maximum likelihood
- small number