Bootstrapping estimates of stability for clusters, observations and model selection.
Han YuBrian E. ChapmanArianna Di FlorioEllen EischenDavid GotzMathews JacobRachael Hageman BlairPublished in: Comput. Stat. (2019)
Keyphrases
- model selection
- cross validation
- hyperparameters
- bayesian information criterion
- bayesian learning
- clustering algorithm
- statistical learning
- parameter estimation
- sample size
- model selection criteria
- regression model
- error estimation
- selection criterion
- feature selection
- mixture model
- variable selection
- machine learning
- statistical inference
- automatic model selection
- information criterion
- data points
- gaussian process
- cluster analysis
- marginal likelihood
- bayesian methods
- confidence intervals
- likelihood function
- posterior distribution
- generalization bounds
- generalization error
- unsupervised learning
- low variance
- hypothesis tests
- image registration