Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions
Dan GeigerDavid HeckermanPublished in: CoRR (2013)
Keyphrases
- directed acyclic
- graphical models
- random variables
- probability distribution
- bayesian networks
- belief propagation
- probabilistic model
- probabilistic inference
- belief networks
- probabilistic graphical models
- markov networks
- graph structure
- approximate inference
- exact inference
- conditional random fields
- structure learning
- map inference
- bayesian framework
- joint distribution
- statistical inference
- conditional independence
- undirected graphical models
- conditional probabilities
- loopy belief propagation
- latent variables
- structural learning
- random walk