RT Journal Article
T1 On the estimation of functional random effects
A1 Durbán Reguera, María Luz
A1 Aguilera Morillo, María del Carmen
AB Functional regression modelling has become one of the most vibrant areas of research in the last years. This discussion provides some alternative approaches to one of the key issues of functional data analysis: the basis representation of curves, and in particular, of functional random effects. First, we propose the estimation of functional principal components by penalizing the norm, and as an alternative, we provide an efficient and unified approach based on B-spline basis and quadratic penalties.
PB SAGE
SN 1471-082X
YR 2017
FD 2017-02-01
LK https://hdl.handle.net/10016/32934
UL https://hdl.handle.net/10016/32934
LA eng
DS e-Archivo
RD 1 sept. 2024