Asymptotic factorizations for the small–ball probability (SmBP) of a Hilbert valued random element X are rigorously established and discussed. In particular, given the first d principal components… (More)

The so-called Functional Linear Regression model consists in explaining a scalar response by a regressor which is a random function observed on a compact subset of R: in this context, the “parameter”… (More)

We study an unsupervised and a supervised classification approaches for Hilbert random curves. Both rest on the use of a surrogate of the probability density which is defined, in a distribution-free… (More)

The aim of this short contribution is to present the various papers componing this Special Issue on Statistics in HD spaces, by putting them back into their bibliographical context through some… (More)

Using data from Ufficio Italiano dei Cambi and Istituto Nazionale di Statistica, we empirically assess the impact of Italy’s outward foreign direct investment (FDI) on local employment growth between… (More)

An approach is presented for the integral equation (IE) analysis of printed structures, based on the definition of multiresolution vector functions. This work concentrates on the case of a mesh with… (More)