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Bandwidth Selection for Recursive Kernel Density Estimators Defined by Stochastic Approximation Method
Bandwidth Selection for Recursive Kernel Density Estimators Defined by Stochastic Approximation Method
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Bandwidth Selection for Recursive Kernel Density Estimators Defined by Stochastic Approximation Method

Slaoui, Yousri Chow, Shein-chung

Brazilian journal of probability and statistics, 2014-01, Vol.2014 (2014), p.1-11 [Periódico revisado por pares]

New York: Hindawi Limiteds

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2
Optimal bandwidth selection for recursive Gumbel kernel density estimators
Optimal bandwidth selection for recursive Gumbel kernel density estimators
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Optimal bandwidth selection for recursive Gumbel kernel density estimators

Slaoui, Yousri

Dependence modeling, 2019-01, Vol.7 (1), p.375-393 [Periódico revisado por pares]

De Gruyter

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3
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 [Periódico revisado por pares]

Basel: MDPI AG

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4
Stochastic Expectation Maximization Algorithm for Linear Mixed-Effects Model with Interactions in the Presence of Incomplete Data
Stochastic Expectation Maximization Algorithm for Linear Mixed-Effects Model with Interactions in the Presence of Incomplete Data
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Stochastic Expectation Maximization Algorithm for Linear Mixed-Effects Model with Interactions in the Presence of Incomplete Data

Zakkour, Alandra ; Perret, Cyril ; Slaoui, Yousri

Entropy (Basel, Switzerland), 2023-03, Vol.25 (3), p.473 [Periódico revisado por pares]

Switzerland: MDPI AG

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5
Semi-Parametric Estimation Using Bernstein Polynomial and a Finite Gaussian Mixture Model
Semi-Parametric Estimation Using Bernstein Polynomial and a Finite Gaussian Mixture Model
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Semi-Parametric Estimation Using Bernstein Polynomial and a Finite Gaussian Mixture Model

Helali, Salima ; Masmoudi, Afif ; Slaoui, Yousri

Entropy (Basel, Switzerland), 2022-02, Vol.24 (3), p.315 [Periódico revisado por pares]

Switzerland: MDPI AG

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6
Quantum teleportation and dynamics of quantum coherence and metrological non-classical correlations for open two-qubit systems
Quantum teleportation and dynamics of quantum coherence and metrological non-classical correlations for open two-qubit systems
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Quantum teleportation and dynamics of quantum coherence and metrological non-classical correlations for open two-qubit systems

Dakir, Yassine ; Slaoui, Abdallah ; Mohamed, Abdel-Baset A ; Laamara, Rachid Ahl ; Eleuch, Hichem

Scientific reports, 2023-11, Vol.13 (1), p.20526-20526, Article 20526 [Periódico revisado por pares]

London: Nature Publishing Group

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7
Nonparametric relative recursive regression
Nonparametric relative recursive regression
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Nonparametric relative recursive regression

Slaoui, Yousri ; Khardani, Salah

Dependence modeling, 2020-10, Vol.8 (1), p.221-238 [Periódico revisado por pares]

De Gruyter Open

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8
Estimation of Some Epidemiological Parameters With the COVID-19 Data of Mayotte
Estimation of Some Epidemiological Parameters With the COVID-19 Data of Mayotte
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Estimation of Some Epidemiological Parameters With the COVID-19 Data of Mayotte

Manou-Abi, Solym M. ; Slaoui, Yousri ; Balicchi, Julien

Frontiers in applied mathematics and statistics, 2022-08, Vol.8 [Periódico revisado por pares]

Frontiers Media S.A

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9
Bandwidth Selection for Recursive Kernel Density Estimators Defined by Stochastic Approximation Method
Bandwidth Selection for Recursive Kernel Density Estimators Defined by Stochastic Approximation Method
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Bandwidth Selection for Recursive Kernel Density Estimators Defined by Stochastic Approximation Method

Slaoui, Yousri

Journal of probability and statistics, 2014-06, Vol.2014, p.1-11 [Periódico revisado por pares]

Hindawi Publishing Corporation

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10
A Novel Multi-Dimensional Clinical Response Index Dedicated to Improving Global Assessment of Pain in Patients with Persistent Spinal Pain Syndrome after Spinal Surgery, Based on a Real-Life Prospective Multicentric Study (PREDIBACK) and Machine Learning Techniques
A Novel Multi-Dimensional Clinical Response Index Dedicated to Improving Global Assessment of Pain in Patients with Persistent Spinal Pain Syndrome after Spinal Surgery, Based on a Real-Life Prospective Multicentric Study (PREDIBACK) and Machine Learning Techniques
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A Novel Multi-Dimensional Clinical Response Index Dedicated to Improving Global Assessment of Pain in Patients with Persistent Spinal Pain Syndrome after Spinal Surgery, Based on a Real-Life Prospective Multicentric Study (PREDIBACK) and Machine Learning Techniques

Rigoard, Philippe ; Ounajim, Amine ; Goudman, Lisa ; Louis, Pierre-Yves ; Slaoui, Yousri ; Roulaud, Manuel ; Naiditch, Nicolas ; Bouche, Bénédicte ; Page, Philippe ; Lorgeoux, Bertille ; Baron, Sandrine ; Charrier, Elodie ; Poupin, Laure ; Rannou, Delphine ; de Montgazon, Géraldine Brumauld ; Roy-Moreau, Brigitte ; Grimaud, Nelly ; Adjali, Nihel ; Nivole, Kevin ; Many, Mathilde ; David, Romain ; Wood, Chantal ; Rigoard, Raphael ; Moens, Maarten ; Billot, Maxime

Journal of clinical medicine, 2021-10, Vol.10 (21), p.4910 [Periódico revisado por pares]

Basel: MDPI AG

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