Effective Design-Based Model Selection for Definitive Screening Designs.
Bradley A. JonesChristopher J. NachtsheimPublished in: Technometrics (2017)
Keyphrases
- model selection
- cross validation
- parameter estimation
- error estimation
- bayesian learning
- hyperparameters
- model selection criteria
- regression model
- automatic model selection
- statistical inference
- meta learning
- gaussian process
- generalization error
- sample size
- variable selection
- statistical learning
- machine learning
- mixture model
- bayesian methods
- markov random field
- selection criterion
- prior knowledge
- learning algorithm
- data sets