Model selection for zero-inflated regression with missing covariates.
Xue-Dong ChenYing-Zi FuPublished in: Comput. Stat. Data Anal. (2011)
Keyphrases
- model selection
- regression model
- sample size
- cross validation
- hyperparameters
- variable selection
- machine learning
- gaussian process
- bayesian learning
- multivariate regression
- parameter estimation
- mixture model
- missing data
- meta learning
- response variable
- generalization error
- selection criterion
- statistical learning
- support vector regression
- incomplete data
- missing values
- model selection criteria
- error estimation
- information criterion
- feature selection
- random sampling
- bayesian methods
- statistical inference
- automatic model selection
- learning machines
- logistic regression
- leave one out cross validation
- maximum likelihood
- parameter determination