A Bayesian Approach for Model Selection in Fractionated Split Plot Experiments With Applications in Robust Parameter Design.
Matthias H. Y. TanC. F. Jeff WuPublished in: Technometrics (2013)
Keyphrases
- model selection
- cross validation
- sample size
- bayesian learning
- statistical learning
- parameter estimation
- regression model
- hyperparameters
- mixture model
- automatic model selection
- model selection criteria
- bayesian methods
- meta learning
- generalization error
- variable selection
- motion segmentation
- gaussian process
- selection criterion
- statistical inference
- error estimation
- information criterion
- feature selection
- machine learning