Uniform in bandwidth consistency for various kernel estimators involving functional data-Reference-Cited by-同舟云学术

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Uniform in bandwidth consistency for various kernel estimators involving functional data

Published:2016-11-15 Issue:1 Volume:29 Page:85-107
ISSN:1048-5252
Container-title:Journal of Nonparametric Statistics
language:en
Short-container-title:Journal of Nonparametric Statistics

Author:

Kara-Zaitri Lydia¹,Laksaci Ali¹,Rachdi Mustapha²,Vieu Philippe³

Affiliation:

1. Laboratoire de Mathématiques, Université Djillali Liabès de Sidi Bel-Abbès, Sidi Bel-Abbès, Algérie

2. Team AGIM, Laboratoire AGEIS EA 7407, UFR SHS, Université Grenoble Alpes, Grenoble Cedex 09, France

3. Institut de Mathématiques de Toulouse, Université Paul Sabatier, Toulouse Cedex 9, France

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10485252.2016.1254780

Reference48 articles.

1. Semi-functional partial linear regression

2. Nonparametric time series prediction: A semi-functional partial linear modeling

3. Automatic estimation procedure in partial linear model with functional data

4. Variable selection in infinite-dimensional problems

5. Partial linear modelling with multi-functional covariates

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1. Local linear-$k$NN smoothing for semi-functional partial linear regression;Hacettepe Journal of Mathematics and Statistics;2024-04-23

2. Weak convergence of the conditional single index $ U $-statistics for locally stationary functional time series;AIMS Mathematics;2024

3. Uniform in number of neighbors consistency and weak convergence of $ k $NN empirical conditional processes and $ k $NN conditional $ U $-processes involving functional mixing data;AIMS Mathematics;2024

4. Weak convergence of the conditional U-statistics for locally stationary functional time series;Statistical Inference for Stochastic Processes;2023-12-18

5. Estimation in nonparametric functional-on-functional models with surrogate responses;Journal of Multivariate Analysis;2023-11

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