Considerate approaches to constructing summary statistics for ABC model selection.
Chris P. BarnesSarah FilippiMichael P. H. StumpfThomas ThornePublished in: Stat. Comput. (2012)
Keyphrases
- model selection
- cross validation
- hyperparameters
- bayesian learning
- sample size
- summary statistics
- error estimation
- machine learning
- model selection criteria
- parameter estimation
- statistical learning
- feature selection
- marginal likelihood
- selection criterion
- automatic model selection
- statistical inference
- variable selection
- mixture model
- bayesian methods
- meta learning
- gaussian process
- generalization error
- bayesian approaches
- motion segmentation
- em algorithm
- regression model
- maximum likelihood
- support vector machine
- bayesian model selection