Asymptotic properties of a nonparametric conditional density estimator in the local linear estimation for functional data via a functional single-index model

This paper deals with the conditional density estimator of a real response variable given a functional random variable (i.e., takes values in an infinite-dimensional space). Specifically, we focus on the functional index model, and this approach represents a good compromise between nonparametric and...

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Main Authors: Fadila Benaissa, Abdelmalek Gagui, Abdelhak Chouaf
Format: Article
Language:English
Published: Taylor & Francis Group 2022-08-01
Series:Statistical Theory and Related Fields
Subjects:
Online Access:http://dx.doi.org/10.1080/24754269.2021.1965945
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author Fadila Benaissa
Abdelmalek Gagui
Abdelhak Chouaf
author_facet Fadila Benaissa
Abdelmalek Gagui
Abdelhak Chouaf
author_sort Fadila Benaissa
collection DOAJ
description This paper deals with the conditional density estimator of a real response variable given a functional random variable (i.e., takes values in an infinite-dimensional space). Specifically, we focus on the functional index model, and this approach represents a good compromise between nonparametric and parametric models. Then we give under general conditions and when the variables are independent, the quadratic error and asymptotic normality of estimator by local linear method, based on the single-index structure. Finally, we complete these theoretical advances by some simulation studies showing both the practical result of the local linear method and the good behaviour for finite sample sizes of the estimator and of the Monte Carlo methods to create functional pseudo-confidence area.
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spelling doaj.art-a8ff188e9e624f998a6637531816e23d2023-09-22T09:19:46ZengTaylor & Francis GroupStatistical Theory and Related Fields2475-42692475-42772022-08-016320821910.1080/24754269.2021.19659451965945Asymptotic properties of a nonparametric conditional density estimator in the local linear estimation for functional data via a functional single-index modelFadila Benaissa0Abdelmalek Gagui1Abdelhak Chouaf2University Oran 1 Ahmed Ben Bella OranDjillali Liabes UniversityDjillali Liabes UniversityThis paper deals with the conditional density estimator of a real response variable given a functional random variable (i.e., takes values in an infinite-dimensional space). Specifically, we focus on the functional index model, and this approach represents a good compromise between nonparametric and parametric models. Then we give under general conditions and when the variables are independent, the quadratic error and asymptotic normality of estimator by local linear method, based on the single-index structure. Finally, we complete these theoretical advances by some simulation studies showing both the practical result of the local linear method and the good behaviour for finite sample sizes of the estimator and of the Monte Carlo methods to create functional pseudo-confidence area.http://dx.doi.org/10.1080/24754269.2021.1965945mean squared errorsingle functional indexconditional density functionnonparametric estimationlocal linear estimationasymptotic normalityfunctional data
spellingShingle Fadila Benaissa
Abdelmalek Gagui
Abdelhak Chouaf
Asymptotic properties of a nonparametric conditional density estimator in the local linear estimation for functional data via a functional single-index model
Statistical Theory and Related Fields
mean squared error
single functional index
conditional density function
nonparametric estimation
local linear estimation
asymptotic normality
functional data
title Asymptotic properties of a nonparametric conditional density estimator in the local linear estimation for functional data via a functional single-index model
title_full Asymptotic properties of a nonparametric conditional density estimator in the local linear estimation for functional data via a functional single-index model
title_fullStr Asymptotic properties of a nonparametric conditional density estimator in the local linear estimation for functional data via a functional single-index model
title_full_unstemmed Asymptotic properties of a nonparametric conditional density estimator in the local linear estimation for functional data via a functional single-index model
title_short Asymptotic properties of a nonparametric conditional density estimator in the local linear estimation for functional data via a functional single-index model
title_sort asymptotic properties of a nonparametric conditional density estimator in the local linear estimation for functional data via a functional single index model
topic mean squared error
single functional index
conditional density function
nonparametric estimation
local linear estimation
asymptotic normality
functional data
url http://dx.doi.org/10.1080/24754269.2021.1965945
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AT abdelhakchouaf asymptoticpropertiesofanonparametricconditionaldensityestimatorinthelocallinearestimationforfunctionaldataviaafunctionalsingleindexmodel