Introduction to "Cuts in Bayesian graphical models" by M. Plummer.
Bradley P. CarlinPublished in: Stat. Comput. (2015)
Keyphrases
- graphical models
- bayesian networks
- statistical inference
- probabilistic model
- belief propagation
- random variables
- probabilistic inference
- probabilistic graphical models
- structure learning
- approximate inference
- exact inference
- marginal probabilities
- conditional random fields
- map inference
- markov networks
- posterior probability
- conditional independence
- bayesian inference
- belief networks
- chain graphs
- factor graphs
- structural learning
- graph structure
- probability distribution
- exponential family
- loopy belief propagation
- posterior distribution
- conditional probabilities
- maximum likelihood