TY  - JOUR 
AU  - Aguilera Del Pino, Ana María
AU  - Aguilera Morillo, María del Carmen
PY  - 2013
UR  - http://hdl.handle.net/10481/72969
AB  - Functional principal component analysis (FPCA) is a dimension reduction technique that explains the dependence structure of a functional data set in terms of uncorrelated variables. In many applications the data are a set of smooth functions observed...
LA  - eng
PB  - Elsevier
KW  - Functional data
KW  - Principal component analysis
KW  - B-spline expansion
KW  - Roughness penalty
KW  - P-splines
TI  - Penalized PCA approaches for B-spline expansions of smooth functional data
DO  - https://doi.org/10.1016/j.amc.2013.02.009
ER  -