Bootstrap Approximation of Model Selection Probabilities for Multimodel Inference Frameworks.
Andres DajlesJoseph E. CavanaughPublished in: Entropy (2024)
Keyphrases
- model selection
- cross validation
- marginal likelihood
- credal networks
- statistical inference
- hyperparameters
- belief networks
- bayesian model selection
- hypothesis tests
- bayesian networks
- sample size
- bayesian learning
- variational bayes
- gaussian process
- expectation propagation
- parameter estimation
- machine learning
- generalization error
- statistical learning
- regression model
- variable selection
- bayesian methods
- feature selection
- selection criterion
- probabilistic inference
- closed form
- mixture model
- probability distribution
- leave one out cross validation
- information criterion
- likelihood function
- error estimation
- bayesian information criterion
- confidence intervals
- exact inference
- approximate inference
- model selection criteria
- parameter determination
- objective function