Information methods for model selection in linear mixed effects models with application to HCV data.
Rositsa DimovaMarianthi MarkatouAndrew H. TalalPublished in: Comput. Stat. Data Anal. (2011)
Keyphrases
- model selection
- statistical inference
- cross validation
- bayesian methods
- statistical methods
- multivariate regression
- prior knowledge
- regression model
- parameter estimation
- learning models
- prior information
- data sets
- model selection criteria
- hypothesis tests
- statistical models
- hyperparameters
- selection criterion
- predictive model
- high dimensional data
- generalization error
- training data
- mixture model
- closed form
- probabilistic model
- incomplete data
- sample size
- linear regression
- machine learning algorithms
- missing data
- support vector
- information criterion
- differentially private
- missing values
- automatic model selection