Model selection in GLM based on the distribution function criterion.
Deepak M. SakateD. N. KashidPublished in: Model. Assist. Stat. Appl. (2013)
Keyphrases
- model selection
- distribution function
- selection criterion
- model selection criteria
- cross validation
- marginal likelihood
- random variables
- hyperparameters
- sample size
- information criterion
- feature selection
- bayesian information criterion
- parameter estimation
- machine learning
- variable selection
- density function
- gaussian process
- linear regression
- mixture model
- unsupervised learning
- selection criteria
- maximum likelihood
- training data