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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書目詳細資料
主要作者: Lian, Heng
其他作者: School of Physical and Mathematical Sciences
格式: Article
語言:English
出版: 2013
在線閱讀:https://hdl.handle.net/10356/99370
http://hdl.handle.net/10220/17246
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