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Title: Kernel regression estimation for functional predictor with values in a Riemannian submanifold Authors:  Chafik Samir - UCA-LMBP/CNRS (France)
Anne Francoise Yao - Universite Clermont Auvergne/LMBP (France) [presenting]
Papa Mbaye - University Clermont Auvergne (France)
Abstract: The problem of kernel estimation of the regression function of a real valued random variable $Y$ given a functional one $X$ will be considered. We focus on the behavior of the Nadaraya-Watson in the situation where $X$ is with values in a finite dimensional Riemannian submanifold of a Hilbert space. We illustrate our purpose through some real data applications.