Publication:
On the estimation of functional random effects

Loading...
Thumbnail Image
Identifiers
Publication date
2017-02-01
Defense date
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
SAGE
Impact
Google Scholar
Export
Research Projects
Organizational Units
Journal Issue
Abstract
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.
Description
Keywords
Functional PCA, Subject-specific curves, Identifiability, SOP algorithm
Bibliographic citation
Durban, M. & Aguilera-Morillo, M. C. (2017). On the estimation of functional random effects. Statistical Modelling, 17(1–2), pp. 50–58.