Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/11391
Title: Nonparametric density and regression estimation for functional data
Authors: Oliveira, Paulo Eduardo 
Keywords: Functional data; Density estimation; Regression estimation; Asymptotic normality
Issue Date: 2005
Publisher: Centro de Matemática da Universidade de Coimbra
Citation: Pré-Publicações DMUC. 05-09 (2005)
Abstract: We consider kernel estimation of density and regression based on functional data. We prove the strong convergence and the asymptotic normality of the centered estimators. We include results both for independent and mixing data, as the mathematical treatment and conditions for convergence are different.
URI: http://hdl.handle.net/10316/11391
Rights: openAccess
Appears in Collections:FCTUC Matemática - Artigos em Revistas Nacionais

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