A focused information criterion for graphical models.
Eugen PircalabeluGerda ClaeskensLourens J. WaldorpPublished in: Stat. Comput. (2015)
Keyphrases
- graphical models
- information criterion
- model selection
- belief propagation
- cross validation
- probability model
- random variables
- probabilistic model
- bayesian information criterion
- probabilistic inference
- probabilistic graphical models
- conditional random fields
- free energy
- approximate inference
- bayesian networks
- factor analysis
- widely applicable
- message passing
- exact inference
- belief networks
- learning theory
- dynamic programming
- leave one out cross validation
- machine learning