Empirical likelihood confidence intervals for nonparametric functional data analysis

We consider the problem of constructing confidence intervals for nonparametric functional data analysis using empirical likelihood. In this doubly infinite-dimensional context, we demonstrate the Wilk's phenomenon and propose a bias-corrected construction that requires neither undersmoothing no...

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Detalhes bibliográficos
Autor principal: Lian, Heng
Outros Autores: School of Physical and Mathematical Sciences
Formato: Journal Article
Idioma:English
Publicado em: 2013
Acesso em linha:https://hdl.handle.net/10356/99370
http://hdl.handle.net/10220/17246