Bayesian density estimation and model selection using nonparametric hierarchical mixtures.
Raffaele ArgientoAlessandra GuglielmiAntonio PievatoloPublished in: Comput. Stat. Data Anal. (2010)
Keyphrases
- density estimation
- model selection
- mixture model
- bayesian learning
- bayesian approaches
- statistical inference
- nonparametric density estimation
- marginal likelihood
- cross validation
- gaussian mixture model
- parzen window
- kernel density estimation
- bayesian methods
- hyperparameters
- density estimators
- density function
- sample size
- gaussian mixture
- unsupervised learning
- density estimates
- machine learning
- posterior distribution
- parameter estimation
- probability density
- log likelihood
- expectation propagation
- probability density function
- generalization error
- feature selection
- selection criterion
- gaussian process
- exponential family
- statistical model
- probabilistic model
- active learning