Conjugate and conditional conjugate Bayesian analysis of discrete graphical models of marginal independence.
Ioannis NtzoufrasClaudia TarantolaPublished in: Comput. Stat. Data Anal. (2013)
Keyphrases
- graphical models
- bayesian analysis
- conditional independence
- belief propagation
- probabilistic model
- random variables
- chain graphs
- approximate inference
- graphical structure
- probabilistic inference
- probabilistic graphical models
- structure learning
- bayesian networks
- markov networks
- map inference
- conditional random fields
- computationally feasible
- exponential family
- belief networks
- statistical inference
- probability distribution
- structural learning
- models with hidden variables
- undirected graphical models
- factor graphs
- loopy belief propagation
- exact inference
- markov logic networks
- possibilistic networks
- conditional probabilities
- search algorithm