In the last decade much effort has been spent modelling dependence among variables to probe the relationships between response variables and predictor ones observed at different occasions/spaces/times. In this paper we propose a nonlinear generalization of multi-block Partial Least Squares using multivariate additive splines. We show the method performance on real sensory data sets.
Titolo: | Non-linear Multi-block Partial Least Squares via Univariate and Bivariate B-splines | |
Autori interni: | ||
Data di pubblicazione: | 2010 | |
Handle: | http://hdl.handle.net/20.500.12070/7180 | |
ISBN: | 88-901015-8-X | |
Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |
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