Model selection for inferring Gaussian graphical models.
Daniela De CanditiisSilvia CirulliPublished in: Commun. Stat. Simul. Comput. (2023)
Keyphrases
- model selection
- gaussian graphical models
- graphical models
- cross validation
- linear models
- variable selection
- regression model
- hyperparameters
- bayesian learning
- sample size
- model selection criteria
- mixture model
- belief propagation
- unsupervised learning
- statistical inference
- selection criterion
- feature selection
- machine learning
- gaussian process
- parameter estimation
- information criterion
- probabilistic model
- automatic model selection
- probabilistic inference
- marginal likelihood