<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The purpose of the paper was to investigate by the kernel method a nonparametric estimate of the conditional density function of a scalar response variable given a random variable taking values in a separable real Hilbert space when the observations are quasi-associated dependent. Under some general conditions, the authors established the pointwise almost complete consistencies with rates of this estimator. The principal aim is the investigate the convergence rate of the proposed estimator.</p>
</abstract>

The purpose of the paper was to investigate by the kernel method a nonparametric estimate of the conditional density function of a scalar response variable given a random variable taking values in a separable real Hilbert space when the observations are quasi-associated dependent. Under some general conditions, the authors established the pointwise almost complete consistencies with rates of this estimator. The principal aim is the investigate the convergence rate of the proposed estimator.

Asymptotic Properties of the Estimator of the Conditional Distribution for Associated Functional Data

LABRI, ESI, Sidi Bel Abbes, University Djillali LIABES of Sidi Bel Abbes

University Djillali LIABES of Sidi Bel Abbes

Econometrics

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.

The purpose of the paper was to investigate by the kernel method a nonparametric estimate of the conditional density function of a scalar response variable...

Asymptotic Properties of the Estimator of the Conditional Distribution for Associated Functional Data

Data publikacji: 10 lis 2022

Zakres stron: 21 - 34

DOI: https://doi.org/10.15611/eada.2022.3.02

Słowa kluczowe
nonparametric estimation, small ball probability, quasi-associated data

© 2022 Mohamed Mehdi Hamri et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.

Asymptotic Properties of the Estimator of the Conditional Distribution for Associated Functional Data

Data publikacji: 10 lis 2022

Zakres stron: 21 - 34

DOI: https://doi.org/10.15611/eada.2022.3.02

Słowa kluczowenonparametric estimation, small ball probability, quasi-associated data

© 2022 Mohamed Mehdi Hamri et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.

Słowa kluczowe
nonparametric estimation, small ball probability, quasi-associated data