Joint estimation of sparse multivariate regression and conditional graphical models.
Junhui WangPublished in: CoRR (2013)
Keyphrases
- graphical models
- joint estimation
- multivariate regression
- gaussian graphical models
- regression model
- belief propagation
- random variables
- graphical structure
- probabilistic model
- chain graphs
- probabilistic inference
- directed acyclic
- bayesian networks
- linear regression
- probabilistic graphical models
- approximate inference
- structure learning
- map inference
- markov networks
- statistical inference
- model selection
- factor graphs
- exact inference
- belief networks
- conditional probabilities
- high dimensional
- graph structure
- conditional random fields
- logistic regression
- undirected graphical models
- structural learning
- decision trees
- probabilistic reasoning
- message passing
- higher order
- probability distribution
- latent variables