Locally sparse and robust partial least squares in scalar-on-function regression.

Sude Gurer Han Lin Shang Abhijit Mandal Ufuk Beyaztas

Published in: Stat. Comput. (2024)

Keyphrases

partial least squares
canonical correlation analysis
principal component regression
dimension reduction
discriminant analysis
regression method
regression methods
high dimensional
principal component analysis
regression model
principal components
feature extraction
data sets
neural network