Model Selection and Estimation for Lognormal Sums in Pearson's Framework.
Q. T. ZhangShenghui SongPublished in: VTC Spring (2006)
Keyphrases
- parameter determination
- model selection
- parameter estimation
- cross validation
- regression model
- statistical inference
- hyperparameters
- bayesian model selection
- error estimation
- mixture model
- selection criterion
- bayesian learning
- statistical learning
- motion segmentation
- sample size
- feature selection
- machine learning
- information criterion
- model selection criteria
- generalization error
- marginal likelihood
- active learning