As in the multivariate setting, the class of elliptical distributions on separable Hilbert spaces serves as an important vehicle and reference point for the development and evaluation of robust methods in functional data analysis. In this paper, we present a simple characterization of elliptical distributions on separable Hilbert spaces, namely we show that the class of elliptical distributions...

In this work we propose a modern statistical approach to the analysis and modeling of online auction data. Online auction data usually arrive in the form of a set of bids recorded over the duration of an auction. We propose the use of modern statistical methods, and especially functional data analysis and smoothing, that preserve the entire temporal dimension in place of currently used methods ...

In the literature two approaches of productivity analyses can be found, namely the neoclassical approach and the frontier approach. Neoclassical analysis weights inputs by value shares, a procedure that requires data on factor input shares or prices. This approach imputes productivity growth to factors, but cannot distinguish a movement towards the efficiency frontier and a movement of the latt...

the phytoplankton structure and dynamics were analysed in relation to abiotic variables inpaso de las piedras reservoir, argentina. phytoplankton driving forces were explored using a functionalapproach. a total of 15 functional groups were identified among which d, p, h1, f, j and c were the mostimportant. a canonical variate analysis indicated that the categorization of the species in function...

Evergreens in science are papers that display a continual rise in annual citations without decline, at least within a sufficiently long time period. Aiming to better understand evergreens in particular and patterns of citation trajectory in general, this paper develops a functional data analysis method to cluster citation trajectories of a sample of 1699 research papers published in 1980 in the...