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The stochastic approximation method for estimation of a distribution function
The stochastic approximation method for estimation of a distribution function
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The stochastic approximation method for estimation of a distribution function

Slaoui, Y.

Mathematical methods of statistics, 2014-10, Vol.23 (4), p.306-325 [Peer Reviewed Journal]

Heidelberg: Allerton Press

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2
Moderate deviation principles for nonparametric recursive distribution estimators using Bernstein polynomials
Moderate deviation principles for nonparametric recursive distribution estimators using Bernstein polynomials
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Moderate deviation principles for nonparametric recursive distribution estimators using Bernstein polynomials

Slaoui, Yousri

Revista matemática complutense, 2022-01, Vol.35 (1), p.147-158 [Peer Reviewed Journal]

Cham: Springer International Publishing

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3
Nonparametric Recursive Kernel Type Eestimators for the Moment Generating Function Under Censored Data
Nonparametric Recursive Kernel Type Eestimators for the Moment Generating Function Under Censored Data
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Nonparametric Recursive Kernel Type Eestimators for the Moment Generating Function Under Censored Data

Bouzebda, Salim ; Elhattab, Issam ; Slaoui, Yousri Slaoui ; Taachouche, NourElhouda

Statistics, optimization & information computing, 2023-02, Vol.11 (2), p.196-215

International Academic Press

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4
Recursive non-parametric kernel classification rule estimation for independent functional data
Recursive non-parametric kernel classification rule estimation for independent functional data
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Recursive non-parametric kernel classification rule estimation for independent functional data

Slaoui, Yousri

Computational statistics, 2021-03, Vol.36 (1), p.79-112 [Peer Reviewed Journal]

Berlin/Heidelberg: Springer Berlin Heidelberg

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5
RECURSIVE NONPARAMETRIC REGRESSION ESTIMATION FOR INDEPENDENT FUNCTIONAL DATA
RECURSIVE NONPARAMETRIC REGRESSION ESTIMATION FOR INDEPENDENT FUNCTIONAL DATA
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RECURSIVE NONPARAMETRIC REGRESSION ESTIMATION FOR INDEPENDENT FUNCTIONAL DATA

Slaoui, Yousri

Statistica Sinica, 2020-01, Vol.30 (1), p.417-437 [Peer Reviewed Journal]

Institute of Statistical Science, Academia Sinica

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6
Two-time-scale nonparametric recursive regression estimator for independent functional data
Two-time-scale nonparametric recursive regression estimator for independent functional data
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Two-time-scale nonparametric recursive regression estimator for independent functional data

Slaoui, Yousri

Communications in statistics. Theory and methods, 2023-08, Vol.52 (15), p.5213-5245 [Peer Reviewed Journal]

Philadelphia: Taylor & Francis

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7
Gaussian and Lerch Models for Unimodal Time Series Forcasting
Gaussian and Lerch Models for Unimodal Time Series Forcasting
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Gaussian and Lerch Models for Unimodal Time Series Forcasting

Dermoune, Azzouz ; Ounaissi, Daoud ; Slaoui, Yousri

Entropy (Basel, Switzerland), 2023-10, Vol.25 (10), p.1474 [Peer Reviewed Journal]

Basel: MDPI AG

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8
Nonparametric Recursive Method for Generalized Kernel Estimators for Dependent Functional Data
Nonparametric Recursive Method for Generalized Kernel Estimators for Dependent Functional Data
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Nonparametric Recursive Method for Generalized Kernel Estimators for Dependent Functional Data

Slaoui, Yousri

Sankhya A, 2024-02, Vol.86 (1), p.392-430 [Peer Reviewed Journal]

New Delhi: Springer India

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9
Wild bootstrap bandwidth selection of recursive nonparametric relative regression for independent functional data
Wild bootstrap bandwidth selection of recursive nonparametric relative regression for independent functional data
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Wild bootstrap bandwidth selection of recursive nonparametric relative regression for independent functional data

Slaoui, Yousri

Journal of multivariate analysis, 2019-09, Vol.173, p.494-511 [Peer Reviewed Journal]

Elsevier Inc

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10
Recursive kernel regression estimation under α - mixing data
Recursive kernel regression estimation under α - mixing data
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Recursive kernel regression estimation under α - mixing data

Slaoui, Yousri

Communications in statistics. Theory and methods, 2022-12, Vol.51 (24), p.8459-8475 [Peer Reviewed Journal]

Philadelphia: Taylor & Francis

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