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Functional data: local linear estimation of the conditional density and its application
Authors:Jacques Demongeot  Ali Laksaci  Fethi Madani
Institution:1. Laboratoire AGIM, FRE 3405 CNRS, Equipe TIMB, Faculté de Médecine de Grenoble , Université J. Fourier , 38700 , La Tronche , France;2. Université Djillali Liabès , BP. 89, Sidi Bel-Abbès, 22000 , Algeria;3. Laboratoire AGIM, FRE 3405 CNRS, Equipe TIMB , Université P. Mendès France (Grenoble II), UFR SHS , BP. 47, 38040 , Grenoble Cedex 09 , France
Abstract:In this paper, we introduce a new nonparametric estimation procedure of the conditional density of a scalar response variable given a random variable taking values in a semi-metric space. Under some general conditions, we establish both the pointwise and the uniform almost-complete consistencies with convergence rates of the conditional density estimator related to this estimation procedure. Moreover, we give some particular cases of our results which can also be considered as novel in the finite-dimensional setting. Notice also that the results of this paper are used to derive some asymptotic properties of the local linear estimator of the conditional mode.
Keywords:functional data  local linear estimator  conditional density  conditional mode  nonparametric model  small balls probability
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