On predictive distributions and Bayesian networks.
Petri KontkanenPetri MyllymäkiTomi SilanderHenry TirriPeter GrünwaldPublished in: Stat. Comput. (2000)
Keyphrases
- bayesian networks
- probability distribution
- random variables
- observable variables
- conditional probabilities
- conditional independence
- conditional distributions
- joint distribution
- bayesian network learning
- power law
- probabilistic model
- graphical models
- probabilistic inference
- structure learning
- learning bayesian networks
- probabilistic reasoning
- incomplete data
- knowledge base
- inference in bayesian networks
- exponential distributions
- structural models
- neural network
- linear gaussian
- predictive modeling
- parameter learning
- normal distribution
- continuous variables
- approximate inference
- hidden variables
- expert knowledge
- posterior probability
- learning algorithm