The impact of genetic diversity statistics on model selection between coalescents.
Fabian FreundArno Siri-JégoussePublished in: Comput. Stat. Data Anal. (2021)
Keyphrases
- model selection
- statistical inference
- cross validation
- bayesian learning
- hyperparameters
- parameter estimation
- error estimation
- sample size
- regression model
- machine learning
- generalization error
- feature selection
- genetic algorithm
- selection criterion
- gaussian process
- meta learning
- model selection criteria
- statistical learning
- mixture model
- variable selection
- information criterion
- marginal likelihood
- bayesian information criterion
- automatic model selection
- generalization bounds
- leave one out cross validation
- real world
- data sets