A Comparative Study of Information Criteria for Model Selection.

Tomomichi Nakamura Kevin Judd Alistair I. Mees Michael Small

Published in: Int. J. Bifurc. Chaos (2006)

Keyphrases

model selection
cross validation
model selection criteria
machine learning
parameter estimation
bayesian methods
feature selection
error estimation
data mining
bayesian networks
variable selection
statistical learning