Durbán Reguera, María LuzAguilera Morillo, María del Carmen2021-06-252021-06-252017-02-01Durban, M. & Aguilera-Morillo, M. C. (2017). On the estimation of functional random effects. Statistical Modelling, 17(1–2), pp. 50–58.1471-082Xhttps://hdl.handle.net/10016/32934Functional 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.9eng© The authors, 2017. Reuse is restricted to non-commercial and no derivative uses. Users may also download and save a local copy of an article accessed in an institutional repository for the user's personal reference.Functional PCASubject-specific curvesIdentifiabilitySOP algorithmresearch articleEstadísticahttps://doi.org/10.1177/1471082X16681333open access501-258Statistical Modelling17AR/0000019572