Model Selection and Inference.

Surekha Mudivarthy M. Bhaskara Rao

Published in: Technometrics (2000)

Keyphrases

model selection
statistical inference
cross validation
bayesian model selection
hyperparameters
parameter estimation
sample size
regression model
bayesian learning

statistical learning
variational bayes
motion segmentation
variable selection
meta learning
mixture model
information criterion
machine learning
generalization error

selection criterion
feature selection
bayesian methods
probabilistic inference
bayesian networks
generalization bounds
error estimation
parameter determination

automatic model selection
belief networks
marginal likelihood
semi supervised
bayesian information criterion
training data
hypothesis tests
image segmentation