A skew Gaussian decomposable graphical model.
Hamid ZareifardHåvard RueMajid Jafari KhalediFinn LindgrenPublished in: J. Multivar. Anal. (2016)
Keyphrases
- graphical models
- markov networks
- belief propagation
- random variables
- approximate inference
- probabilistic inference
- probabilistic graphical models
- probabilistic model
- structure learning
- maximum likelihood
- conditional random fields
- belief networks
- map inference
- exact inference
- factor graphs
- bayesian networks
- gaussian graphical models
- conditional independence
- graph structure
- statistical inference
- gaussian distribution
- probabilistic networks
- latent variables
- conditional dependencies
- three dimensional
- gaussian model
- message passing