Computations and analysis in robust regression model selection using stochastic complexity.

Published in: Comput. Stat. (1999)

Keyphrases

model selection
cross validation
hyperparameters
sample size
model selection criteria
motion segmentation
unsupervised learning
parameter estimation
mixture model
variable selection
training data
bayesian learning
robust regression
machine learning
regression model
linear regression
selection criterion