Parameter Priors for Directed Acyclic Graphical Models and the Characteriration of Several Probability Distributions.
Dan GeigerDavid HeckermanPublished in: UAI (1999)
Keyphrases
- directed acyclic
- graphical models
- random variables
- probability distribution
- bayesian networks
- probabilistic model
- belief propagation
- probabilistic graphical models
- graph structure
- probabilistic inference
- belief networks
- conditional independence
- conditional random fields
- structure learning
- map inference
- approximate inference
- conditional probabilities
- prior knowledge
- statistical inference
- latent variables
- joint distribution
- markov networks
- exact inference
- factor graphs
- bayesian framework
- graphical structure
- data model
- structural learning