Model Selection for Simulator-based Statistical Models: A Kernel Approach.
Takafumi KajiharaMotonobu KanagawaYuuki NakaguchiKanishka KhandelwalKenji FukumizuPublished in: CoRR (2019)
Keyphrases
- statistical models
- model selection
- parameter estimation
- kernel matrix
- cross validation
- statistical model
- hyperparameters
- statistical modeling
- sample size
- bayesian learning
- kernel machines
- gaussian process
- machine learning
- variable selection
- regression model
- support vector
- model selection criteria
- gaussian processes
- kernel methods
- feature selection
- generalization error
- statistical methods
- mixture model
- feature space
- approximate inference
- kernel function
- statistical inference
- selection criterion
- posterior distribution
- information criterion
- automatic model selection
- image processing
- kernel learning
- exponential family
- data mining
- least squares