Efficient estimation and model selection in large graphical models.
Dag WedelinPublished in: Stat. Comput. (1996)
Keyphrases
- model selection
- graphical models
- statistical inference
- parameter estimation
- approximate inference
- cross validation
- belief propagation
- error estimation
- hyperparameters
- selection criterion
- probabilistic model
- gaussian process
- probabilistic inference
- regression model
- random variables
- structure learning
- sample size
- machine learning
- conditional random fields
- probabilistic graphical models
- bayesian networks
- statistical learning
- mixture model
- exact inference
- markov networks
- conditional independence
- belief networks
- generalization error
- variable selection
- bayesian methods
- feature selection
- model selection criteria
- statistical models
- markov random field
- data mining
- probability distribution
- information criterion