On Gaussian conditional independence structures.
Radim LnenickaFrantisek MatúsPublished in: Kybernetika (2007)
Keyphrases
- conditional independence
- gaussian model
- bayesian networks
- graphical models
- random variables
- probability distribution
- learning bayesian networks
- statistical independence
- causal models
- structure learning
- directed acyclic graph
- structure and parameter learning
- axiomatic characterization
- probability theory
- probabilistic model
- bayesian network structure
- chain graphs
- conditional independencies
- possibility theory
- causal discovery
- neural network
- causal independence
- maximum likelihood
- markov chain
- marginal distributions
- expectation maximization
- gaussian mixture model
- hidden variables