Towards Argumentation for Statistical Model Selection.
Isabel SassoonJeroen KeppensPeter McBurneyPublished in: COMMA (2014)
Keyphrases
- model selection
- statistical inference
- cross validation
- hypothesis tests
- hyperparameters
- regression model
- parameter estimation
- multivariate regression
- machine learning
- bayesian learning
- sample size
- mixture model
- selection criterion
- statistical learning
- variable selection
- error estimation
- meta learning
- feature selection
- information criterion
- model selection criteria
- gaussian process
- statistical models
- statistical analysis
- marginal likelihood
- parameter determination
- posterior distribution
- leave one out cross validation
- confidence intervals
- factor analysis
- motion segmentation
- generalization bounds
- least squares
- prior knowledge