Moments, errors, asymptotic normality and large deviation principle in nonparametric functional regression-Reference-Cited by-同舟云学术

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Moments, errors, asymptotic normality and large deviation principle in nonparametric functional regression

Published:2015-12 Issue: Volume:107 Page:369-377
ISSN:0167-7152
Container-title:Statistics & Probability Letters
language:en
Short-container-title:Statistics & Probability Letters

Author:

Geenens Gery

Funder

Faculty of Science, UNSW Australia, Sydney

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference30 articles.

1. Local linear regression for functional predictor and scalar response;Baíllo;J. Multivariate Anal.,2009

2. k-Nearest Neighbour method in functional nonparametric regression;Burba;J. Nonparametr. Stat.,2009

3. Introduction to Rare Event Simulation;Bucklew,2004

4. Functional linear model;Cardot;Statist. Probab. Lett.,1999

5. Large Deviations Techniques and Applications;Dembo,1998

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1. A median test for functional data;Journal of Nonparametric Statistics;2022-04-03

2. On the robustification of the kernel estimator of the functional modal regression;Statistics & Probability Letters;2022-02

3. Nonparametric modelling for functional data: selected survey and tracks for future;Statistics;2018-07-04

4. Methods for Scalar-on-Function Regression;International Statistical Review;2016-02-23

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