Structure learning in Bayesian Networks using regular vines.
Ingrid Hobæk HaffKjersti AasArnoldo FrigessiVirginia LacalPublished in: Comput. Stat. Data Anal. (2016)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- learning bayesian networks
- parameter learning
- conditional independence
- bayesian network structure learning
- bayesian network classifiers
- markov logic networks
- structure learning algorithm
- dynamic bayesian networks
- probabilistic model
- markov blanket
- bayesian network structure
- probabilistic inference
- bayesian network structures
- probabilistic reasoning
- posterior probability
- incomplete data
- continuous variables
- exact inference
- probability distribution
- random variables
- network structure
- structure and parameter learning
- transfer learning
- belief propagation
- causal discovery
- causal models
- conditional probabilities
- approximate inference