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.fulltext | Com Texto completo | - |
item.grantfulltext | open | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.openairetype | preprint | - |
item.openairecristype | http://purl.org/coar/resource_type/c_816b | - |
crisitem.author.orcid | 0000-0001-7217-5705 | - |
Appears in Collections: | FCTUC Matemática - Artigos em Revistas Nacionais |
Files in This Item:
File | Description | Size | Format | |
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Nonparametric density and regression estimation.pdf | 194.08 kB | Adobe PDF | View/Open |
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