A comparison of design and model selection methods for supersaturated experiments.

Christopher J. Marley David C. Woods

Published in: Comput. Stat. Data Anal. (2010)

Keyphrases

model selection
cross validation
bayesian methods
statistical inference
bayesian learning
parameter estimation
error estimation
feature selection
selection criterion
machine learning
mixture model
regression model
sample size
model selection criteria
graphical models