A scalable and efficient covariate selection criterion for mixed effects regression models with unknown random effects structure.
Radu V. CraiuThierry DuchesnePublished in: Comput. Stat. Data Anal. (2018)
Keyphrases
- mixed effects
- random effects
- regression model
- linear model
- selection criterion
- model selection
- hierarchical structure
- survival analysis
- regression trees
- hidden markov models
- variable selection
- linear models
- least squares
- prediction model
- gaussian process
- cross validation
- feature selection
- probabilistic model
- support vector machine