Considerate approaches to constructing summary statistics for ABC model selection.

Chris P. Barnes Sarah Filippi Michael P. H. Stumpf Thomas Thorne

Published in: Stat. Comput. (2012)

Keyphrases

model selection
cross validation
hyperparameters
bayesian learning
sample size
summary statistics
error estimation
machine learning

model selection criteria
parameter estimation
statistical learning
feature selection
marginal likelihood
selection criterion
automatic model selection

statistical inference
variable selection
mixture model
bayesian methods
meta learning
gaussian process
generalization error

bayesian approaches
motion segmentation
em algorithm
regression model
maximum likelihood
support vector machine
bayesian model selection