Conditional Model Selection in Mixed-Effects Models with cAIC4.
Benjamin SäfkenDavid RügamerThomas KneibSonja GrevenPublished in: J. Stat. Softw. (2021)
Keyphrases
- model selection
- model selection criteria
- information criterion
- cross validation
- parameter estimation
- hyperparameters
- mixed effects
- regression model
- selection criterion
- bayesian learning
- machine learning
- sample size
- statistical inference
- automatic model selection
- mixture model
- bayesian methods
- gaussian process
- variable selection
- selection criteria
- random effects
- gaussian processes
- marginal likelihood
- machine learning algorithms
- learning algorithm