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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| Format: | Article |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/99370 http://hdl.handle.net/10220/17246 |
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| Institution: | Nanyang Technological University |
| Language: | English |