Inference under functional proportional and common principal component models.

Graciela Boente Daniela Rodriguez Mariela Sued

Published in: J. Multivar. Anal. (2010)

Keyphrases

principal components
probabilistic model
principal component analysis
random fields
learning algorithm
bayesian networks
statistical models
probabilistic inference
bayesian inference
neural network
feature extraction
pattern recognition
upper bound
parameter estimation
neural network model
structured prediction