Model selection and model averaging after multiple imputation.
Michael SchomakerChristian HeumannPublished in: Comput. Stat. Data Anal. (2014)
Keyphrases
- model selection
- model averaging
- bayesian methods
- hyperparameters
- posterior distribution
- cross validation
- parameter estimation
- regression model
- supervised classification
- mixture model
- unsupervised learning
- missing data
- marginal likelihood
- bayesian network structures
- sample size
- incomplete data
- gaussian process
- machine learning
- selection criterion
- gaussian processes
- variable selection
- feature selection
- missing values
- feature vectors
- bayesian information criterion
- information criterion
- support vector
- bayesian networks
- decision trees