Large Deviation Results for the Nonparametric Regression Function Estimator on Functional Data

Details Large Deviation Results for the Nonparametric Regression Function Estimator on Functional Data Large Deviation Results for the Nonparametric Regression Function Estimator on Functional Data

2011-11-25

arxiv.org/abs/1111.5989v1

Mathematics

Statistics Theory

23 pages

Scientific paper

This paper is devoted to the study of large deviation behaviors in the setting of the estimation of the regression function on functional data. A large deviation principle is stated for a process Zn, de?ned below, allowing to derive a pointwise large deviation principle for the Nadaraya-Watson-type l-indexed regression function estimator as a by-product. Moreover, a uniform over VC-classes Cherno? type large deviation result is stated for the deviation of the l-indexed regression estimator.

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