Model selection and gobbledygook: Response to Lohmann et al.
Karl J. FristonJean DaunizeauKlaas Enno StephanPublished in: NeuroImage (2013)
Keyphrases
- model selection
- cross validation
- parameter estimation
- bayesian learning
- regression model
- hyperparameters
- sample size
- model selection criteria
- gaussian process
- marginal likelihood
- machine learning
- statistical learning
- variable selection
- motion segmentation
- mixture model
- meta learning
- selection criterion
- parameter determination
- generalization error
- feature selection
- generalization bounds
- leave one out cross validation
- bayesian model selection
- likelihood function
- statistical inference
- bayesian information criterion
- data sets
- image segmentation