Nonparametric density and regression estimation for functional data

Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/11391

DC Field	Value	Language
dc.contributor.author	Oliveira, Paulo Eduardo	-
dc.date.accessioned	2009-09-14T13:31:43Z	-
dc.date.available	2009-09-14T13:31:43Z	-
dc.date.issued	2005	-
dc.identifier.citation	Pré-Publicações DMUC. 05-09 (2005)	en_US
dc.identifier.uri	https://hdl.handle.net/10316/11391	-
dc.description.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.	en_US
dc.description.sponsorship	Centro de Matemática da Universidade de Coimbra; Fundação para a Ciência e Tecnologia; POCTI	en_US
dc.language.iso	eng	en_US
dc.publisher	Centro de Matemática da Universidade de Coimbra	en_US
dc.rights	openAccess	en_US
dc.subject	Functional data	en_US
dc.subject	Density estimation	en_US
dc.subject	Regression estimation	en_US
dc.subject	Asymptotic normality	en_US
dc.title	Nonparametric density and regression estimation for functional data	en_US
dc.type	preprint	en_US
item.openairecristype	http://purl.org/coar/resource_type/c_816b	-
item.openairetype	preprint	-
item.cerifentitytype	Publications	-
item.grantfulltext	open	-
item.fulltext	Com Texto completo	-
item.languageiso639-1	en	-
crisitem.author.orcid	0000-0001-7217-5705	-
Appears in Collections:	FCTUC Matemática - Artigos em Revistas Nacionais

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