Liste des publications
Revues Internationales:

Statistiques Méthodologiques

---------------------------------------------------------------2024----------------------------------------------------------

1. Nonparametric Estimation for Random Effects Models Driven by Fractional Brownian Motion Using Hermite Polynomials.
Hamid El Maroufy, Souad Ichi, Mohamed El Omari and Yousri Slaoui.
Statistical Inference for Stochastic Processes, (2024). Volume 27, Pages 305-333.
2. The discrete q-Gaussian distribution Nq(μ,σ2): Properties and parameters estimation.
Oumaima Ben Mrad, Afif Masmoudi and Yousri Slaoui
Physics Letters A, (2024). Volume 493, Pages 129249. doi: 10.1016/j.physleta.2023.129249
3. Robust estimator of the Ruin Probability in infinite time for heavy-tailed distributions.
Deme EL Hadji, Yousri Slaoui, Modou Kebe and Solym Manou-Abi
Statistics, (2024). Volume 58, Issue 6, Pages 1401-1422.
4. Parameter estimation for stable distributions and their mixtures.
Omar Hajjaji, Solym Manou-Abi and Yousri Slaoui
Journal of Applied Statistics, (2024) doi: 10.1080/02664763.2024.2434627.
5. Nonparametric Recursive Method for Generalized Kernel Estimators for dependent functional Data.
Yousri Slaoui.
Sankhya A, (2024). Volume 86, Pages 392-430.
6. Some properties of q-Gaussian distributions.
Oumaima Ben Mrad, Afif Masmoudi and Yousri Slaoui
Communications in Statistics - Theory and Methods, (2024). Volume 53, Issue 17, Pages 6315-6337.
7. Kernel estimators for q-fractional diffusion processes with random effects using q-calculus.
Imen Badrani, Mondher Damak and Yousri Slaoui
Communications in Statistics - Theory and Methods, (2024). doi : 10.1080/03610926.2024.2369317
8. On Nonparametric Kernel Estimation of the Mode of the Regression Function in the Strong Mixing Random Design Model with Censored Data.
Salim Bouzebda, Salah Khardani and Yousri Slaoui
Communications in Statistics - Theory and Methods, (2024). doi: 10.1080/03610926.2024.2372062
9. Box-Cox transformation on the estimation of extreme value index (EVI) and high quantiles for heavy-tailed distributions under dependence serials.
Mame Birame Diouf, El Hadji Deme, Solym Manou-Abi and Yousri Slaoui
Mathematical Methods of Statistics, (2024).
10. Reduced-bias estimator of the ruin probability in infinite time for heavy-tailed distributions with index in the upper half of the unit interval.
Modou Kebe, El Hadji Deme, Tchilabalo Abozou and Yousri Slaoui
Japanese Journal of Statistics and Data Science, (2024). Volume 7, Issue 2, Pages 815--840.

---------------------------------------------------------------2023----------------------------------------------------------

11. Mixture of longitudinal factor analyzers and their application to the assessment of chronic pain.
Amine Ounajim, Yousri Slaoui, Pierre-Yves Louis, Maxime Billot, Denis Frasca and Philippe Rigoard
Statistics in Medicine, (2023). Volume 42, Issue 18, Pages 3259-3282.
Un article de vulgarisation plus axé grand public pour L'INSMI.
Package sous R : MixLFA.
12. Kernel estimator of extreme value index (EVI) and high quantiles for heavy-tailed distributions under dependence serials using the Box-Cox transformation.
Mame Birame Diouf, El Hadji Deme, Solym Manou-Abi and Yousri Slaoui
Afrika Statistika, (2023). Volume 18, Issue 4, Pages 3651-3695.
13. Methodology for nonparametric bias reduction in kernel regression estimation.
Yousri Slaoui.
Monte Carlo Methods and Applications, (2023). Volume 29, Issue 1, Pages 55-77.
14. Asymptotic Normality of the Regression Mode in the Nonparametric Random Design Model for Censored Data.
Salim Bouzebda, Salah Khardani and Yousri Slaoui.
Communications in Statistics - Theory and Methods, (2023). Volume 52, Issue 19, Pages 7069-7093.
15. Nonparametric recursive estimation for multivariate derivative functions by stochastic approximation method
Salim Bouzebda and Yousri Slaoui.
Sankhya A, (2023). Volume 85, Issue 1, Pages 658-690.
16. Two-time-scale nonparametric recursive regression estimator for independent functional data.
Yousri Slaoui.
Communications in Statistics - Theory and Methods, (2023). Volume 52, Issue 15, Pages 5213-5245.
17. Nonparametric recursive kernel type estimators for the moment generating function under censored data.
Salim Bouzebda, Issam Elhattab, Yousri Slaoui and Nourelhouda Taachouche.
Statistics, Optimization & Information Computing, (2023). Volume 11, Pages 196-215.
18. Stochastic Expectation Maximization Algorithm for Linear Mixed-Effects Model with Interactions in the Presence of Incomplete Data.
Alandra Zakkour, Cyril Perret and Yousri Slaoui.
Entropy, Volume 25, Issue 3 (2023). doi: 10.3390/e25030473.
19. Confidence intervals from local minimums of objective function.
Azzouz Dernoune, Daoud Ounaissi and Yousri Slaoui.
Statistics, Optimization & Information Computing, (2023). Volume 11, Pages 798-810.
20. Gaussian and Lerch Models for Unimodal Time Series Forcasting.
Azzouz Dernoune, Daoud Ounaissi and Yousri Slaoui.
Entropy, Volume 25, Issue 10 (2023). doi: 10.3390/e25101474.

---------------------------------------------------------------2022----------------------------------------------------------

21. Moderate deviation principles for nonparametric recursive distribution estimators using Bernstein polynomials.
Yousri Slaoui.
Revista Matemática Complutense, (2022). Volume 35, Issue 1, Pages 145-158.
22. Nonparametric Recursive Method for Moment-Generating Function Kernel-Type Estimators
Salim Bouzebda and Yousri Slaoui.
Statistics and Probability Letters, (2022), Volume 184, numéro 109422, doi: 10.1016/j.spl.2022.109422.
23. Estimation in a Binomial Stochastic Blockmodel for a Weighted Graph by a Variational Expectation Maximization Algorithm.
Abir El Haj, Yousri Slaoui, Pierre-Yves Louis and Zaher Khraibani.
Communications in Statistics - Simulation and Computation, (2022). Volume 51, Issue 8, Pages 4450-4469.
24. Recursive regression estimation based on the two-time-scale stochastic approximation method and Bernstein polynomials.
Yousri Slaoui and Salima Helali.
Monte Carlo Methods and Applications, (2022), Volume 28, Issue 1, Pages 45-59.
25. Semi parametric estimation using Bernstein polynomial and a finite Gaussian mixture model.
Salima Helali, Afif Masmoudi and Yousri Slaoui.
Entropy, (2022). Volume 24, issue 3, pages 315, doi: 10.3390/e24030315
26. Recursive kernel regression estimation under alpha-mixing data.
Yousri Slaoui.
Communications in Statistics - Theory and Methods, (2022). Volume 51, Issue 24, Pages 8459-8475.
27. Statistical inference for multivariate conditional cumulative distribution function estimation by stochastic approximation method.
Sahar Slama, Yousri Slaoui and Hamdi Fathallah.
Statistics, Optimization & Information Computing, (2022). Volume 10, Issue 3, Pages 789-814.
28. The stochastic approximation method for recursive kernel estimation of the conditional extreme value index.
Fatma Ben Khadher and Yousri Slaoui.
Journal of Statistical Theory and Practice, (2022). doi : 10.1007/s42519-022-00257-9
29. Bernstein polynomial of recursive regression estimation with censored data.
Yousri Slaoui.
Stochastic Models. (2022). Volume 38, Issue 3, Pages 468-487.
30. Non-parametric multivariate kernel regression estimation to describe cognitive processes and mental representations.
Sahar Slama, Yousri Slaoui, Gwendoline Le Du and Cyril Perret.
Statistics, Optimization & Information Computing, (2022). Volume 10, Issue 4, Pages 1021-1043.
31. Spatial assessment of water river pollution using the stochastic block model: Application in different station in the Litani river, Lebanon
Alya Atoui, Abir El Haj, Yousri Slaoui, Ali Fadel, Kamal Slim, Samir Abbad Andaloussi, Régis Moilleron and Zaher Khraibani
Statistics, Optimization & Information Computing, (2022). Volume 10, Issue 4, Pages 1204-1221.
32. The stochastic approximation method for semi-recursive multivariate kernel-type regression estimation.
Sahar Slama, Yousri Slaoui and Hamdi Fathallah.
Theory of Stochastic Processes, Volume 26(42), Pages 27-59. (2022).
33. Recursive and non-recursive regression estimators using Bernstein polynomials.
Yousri Slaoui and Asma Jmaei.
Theory of Stochastic Processes, Volume 26(42), Pages 60-95. (2022).

---------------------------------------------------------------2021----------------------------------------------------------

34. Recursive non-parametric kernel classification rule estimation for independent functional data.
Yousri Slaoui.
Computational Statistics, (2021). Volume 36, Issue 1, Pages 79-112.
35. Bayesian Estimation of The Ex-Gaussian Distribution.
Abir El Haj, Yousri Slaoui, Clara Solier and Cyril Perret
Statistics, Optimization & Information Computing, (2021). Volume 9, Issue 4, Pages 809-819.
Package sous R : ExGaussEstim.
36. Two new nonparametric kernel distribution estimators based on a transformation of the data.
Yousri Slaoui.
Journal of Applied Statistics, (2021). Volume 48, Issue 12, Pages 2065-2091.
37. Data-driven deconvolution recursive kernel density estimators defined by stochastic approximation method.
Yousri Slaoui.
Sankhya A, (2021). Volume 83, Issue 1, Pages 312-352.
38. The Stochastic Approximation Method for Estimation of a Distribution Function under alpha-mixing condition.
Fatma Ben Khadher and Yousri Slaoui.
International Journal of Mathematics and Statistics, Volume 22, Issue 1, Pages 1-19. (2021).
39. Moderate deviation principles for nonparametric recursive density estimators using Bernstein polynomials.
Yousri Slaoui.
International Journal of Mathematics and Statistics, Volume 22, Issue 1, Pages 115-125. (2021).
40. Multivariate distribution function estimation using stochastic approximation method.
Sahar Slama and Yousri Slaoui.
International Journal of Mathematics and Statistics, Volume 22, Issue 2, Pages 31-59. (2021).

---------------------------------------------------------------2020----------------------------------------------------------

41. Recursive nonparametric regression estimation for independent functional data.
Yousri Slaoui.
Statistica Sinica, Volume 30, Issue 1, Pages 417-437. (2020).
42. Adaptive recursive kernel conditional density estimators under censoring data.
Yousri Slaoui and Salah Khardani.
Latin American Journal of Probability and Mathematical Statistics, ALEA, Volume 12, Issue 2, Pages 389-417. (2020).
43. Nonparametric relative recursive regression.
Yousri Slaoui and Salah Khardani.
Dependence Modeling, Volume 2, Pages 221-238. (2020).
44. Recursive nonparametric regression estimation for dependent strong mixing functional data.
Yousri Slaoui.
Statistical Inference for Stochastic Processes, Volume 23, Issue 3, Pages 665-697. (2020).
45. Nonparametric relative recursive regression estimators for Censored Data.
Yousri Slaoui.
Stochastic Models, Volume 36, Issue 4, Pages 638-660. (2020).
46. Strong consistency of the mode of multivariate recursive kernel density estimator under strong mixing hypothesis.
Fatma Ben Khadher and Yousri Slaoui.
Theory of Stochastic Processes, Volume 25(41), Issue 2, Pages 61-73. (2020).
47. Bandwidth selector for nonparametric recursive density estimation for spatial data defined by stochastic approximation method.
Salim Bouzebda and Yousri Slaoui.
Communication in Statistics - Theory and Methods, Volume 49, Issue 12, Pages 2942-2963. (2020).
48. Estimation of a distribution function using Lagrange polynomials with Tchebychev-Gauss points.
Salima Helali and Yousri Slaoui.
Statistics and Its Interface, Volume 13, Issue 3, Pages 399-410. (2020).
49. Automatic bandwidth selection for recursive kernel density estimators with length-biased data.
Yousri Slaoui.
Japanese Journal of Statistics and Data Science, Volume 3, Issue 2, Pages 429-452. (2020).
50. Large and moderate deviation principles for recursive kernel estimators for spatial data.
Salim Bouzebda and Yousri Slaoui.
Journal of Stochastic Analysis, Volume 1, (2020), doi : 10.31390/josa.1.1.07.
51. Nonparametric Recursive Method for Kernel-Type Function Estimators for Censored Data.
Salim Bouzebda and Yousri Slaoui.
Journal of Stochastic Analysis, Volume 1, (2020) doi: 10.31390/josa.1.3.04

---------------------------------------------------------------2019----------------------------------------------------------

52. Wild Bootstrap Bandwidth Selection of Recursive Nonparametric Relative Regression for Independent Functional Data.
Yousri Slaoui.
Journal of Multivariate Analysis, Volume 173, Pages 494-511. (2019).
53. Optimal bandwidth selection for recursive Gumbel kernel density estimators.
Yousri Slaoui.
Dependence Modeling, Volume 7, Pages 375-393. (2019).
54. Large and moderate deviation principles for nonparametric recursive kernel distribution estimators defined by stochastic approximation method.
Yousri Slaoui.
Opuscula Mathematica, Volume 39, Issue 5, Pages 733-746. (2019).
55. Large and moderate deviation principles for recursive kernel estimators of a regression function for spatial data defined by stochastic approximation method.
Salim Bouzebda and Yousri Slaoui.
Statistics and Probability Letters, Volume 151, Pages 17-28. (2019).
56. Nonparametric relative regression under random censorship model.
Salah Khardani and Yousri Slaoui.
Statistics and Probability Letters, Volume 151, Pages 116-122. (2019).
57. Recursive density estimators based on Robbins-Monro's scheme and using Bernstein polynomials.
Yousri Slaoui and Asma Jmaei.
Journal of Statistics and Its Interface, Volume 12, Issue 3, Pages 439-455. (2019).
58. Recursive kernel density estimation and optimal bandwidth selection under alpha-mixing data.
Salah Khardani and Yousri Slaoui.
Journal of Statistical Theory and Practice, Volume 13, Issue 36, (2019). doi: 10.1007/s42519-018-0031-6
59. Smoothing Parameters for Recursive Kernel Density Estimators under Censoring.
Yousri Slaoui.
Communications on Stochastic Analysis, Volume 13, Issue 2, (2019). doi: 10.31390/cosa.13.2.02
60. Large and moderate deviation principles for semi-recursive hazard rate kernel estimators defined by stochastic approximation method.
Yousri Slaoui.
International Journal of Mathematics and Statistics, Volume 20, Issue 2, Pages 1-15. (2019).
61. Extension of the SEM algorithm to a nonlinear hierarchical random intercept model with censored response.
Abir El Haj and Yousri Slaoui.
International Journal of Mathematics and Statistics, Volume 20, Issue 3, Pages 58-73. (2019).

---------------------------------------------------------------2018----------------------------------------------------------

62. Bias reduction in kernel density estimation.
Yousri Slaoui.
Journal of Nonparametric Statistics, Volume 30, Issue 2, (2018), Pages 505-522.
63. Nonparametric recursive method for Kernel-Type Function Estimators for Spatial Data.
Salim Bouzebda and Yousri Slaoui.
Statistics and Probability Letters, Volume 139, (2018), Pages 103-114.
64. Data-Driven Bandwidth Selection for recursive kernel density estimators under double truncation.
Yousri Slaoui.
Sankhya B, The Indian Journal of Statistics, Volume 80, Issue 2, (2018), Pages 341-368.

---------------------------------------------------------------2017----------------------------------------------------------

65. Recursive distribution estimators defined by stochastic approximation method using Bernstein polynomials.
Asma Jmaei, Yousri Slaoui and Wassima Dellagi.
Journal of Nonparametric Statistics, Volume 29, Issue 4, (2017), Pages 792-805.
66. Recursive kernel density estimators under missing data.
Yousri Slaoui.
Communication in Statistics - Theory and Methods, Volume 46, Issue 18, (2017), Pages 9101-9125.

---------------------------------------------------------------2016----------------------------------------------------------

67. On the choice of smoothing parameters for semi-recursive nonparametric hazard estimators.
Yousri Slaoui.
Journal of Statistical Theory and Practice, Volume 10, Issue 4, (2016), Pages 656-672.
68. Bandwidth selection in deconvolution kernel distribution estimators defined by stochastic approximation method with Laplace errors.
Yousri Slaoui.
Journal of Japan Statistical Society, Volume 46, Issue 1, (2016), Pages 1-26.
69. Smoothing parameters for deconvolution recursive kernel density estimators defined by stochastic approximation method with Laplace errors.
Yousri Slaoui.
Journal of the Indian Statistical Association, Volume 54, Issue 1-2, (2016), Pages 193-220.
70. Optimal bandwidth selection for semi-recursive kernel regression estimators.
Yousri Slaoui.
Statistics and Its Interface, Volume 9, Issue 3, (2016), Pages 375-388.

---------------------------------------------------------------2015----------------------------------------------------------

71. Plug-In Bandwidth selector for recursive kernel regression estimators defined by stochastic approximation method.
Yousri Slaoui.
Statistica Neerlandica, Volume 69, Issue 4, (2015), Pages 483-509.
72. Moderate deviation principles for recursive regression estimators defined by stochastic approximation method.
Yousri Slaoui.
International Journal of Mathematics and Statistics, Volume 16, Issue 2, (2015), Pages 51-60.
73. Large and moderate deviation principles for averaged stochastic approximation method for the estimation of a regression function.
Yousri Slaoui.
Serdica Mathematical Journal, Volume 41, Issue 2-3, (2015), Pages 307-328.

---------------------------------------------------------------2014----------------------------------------------------------

74. The stochastic approximation method for the estimation of a distribution function.
Yousri Slaoui.
Mathematical Methods of Statistics, Volume 23, Issue 4, (2014), Pages 306-325.
75. Parameter estimation in a hierarchical random intercept model with censored response: An approach using a SEM algorithm and Gibbs sampling.
Yousri Slaoui and Grégory Nuel.
Sankhya B, The Indian Journal of Statistics, Volume 76, Issue 2, (2014), Pages 210-233.
76. Bandwidth selection for recursive kernel density estimators defined by stochastic approximation method.
Yousri Slaoui.
Journal of Probability and Statistics, vol. 2014, Article ID 739640, 11 pages, (2014). Doi:10.1155/2014/739640.

-------------------------------------------------------------2013-----------------------------------------------------------

77. Large and Moderate deviation principles for recursive kernel density estimators defined by stochastic approximation method.
Yousri Slaoui.
Serdica Mathematical Journal, Volume 39, Issue 1, (2013), Pages 53-82.

-----------------------------------------------------avant 2010-----------------------------------------------------------

78. Revisiting Revesz's stochastic approximation method for estimation of a regression function.
Abdelkader Mokkadem, Mariane Pelletier and Yousri Slaoui
ALEA Latin American Journal of Probability and Mathematical Statistics, Volume 6, (2009), Pages 63-114.
79. The stochastic approximation method for the estimation of a multivariate probability density.
Abdelkader Mokkadem, Mariane Pelletier and Yousri Slaoui
Journal of statistical planning and inference, Volume 139, Issue 7, (2009), Pages 2459-2478.

Statistiques Appliquées à la Biologie

80. Estimation of some epidemiological parameters with the Covid-19 data of Mayotte.
Solym Mawaki MANOU-ABI, Yousri Slaoui, Julien Balicchi
(2022). Frontiers Applied Mathematics and Statistics. doi: 10.3389/fams.2022.870080
81. Finite Mixture Models based on pain intensity, functional disability and psychological distress composite assessment allow to identify two distinct classes of Persistent Spinal Pain Syndrome after surgery patients related to their quality of life
Amine Ounajim, Maxime Billot, Pierre-Yves Louis, Yousri Slaoui, Denis Frasca, Lisa Goudman, Manuel Roulaud, Nicolas Naiditch, Bertille Lorgeoux, Sandrine Baron, Kevin Nivole, Mathilde Many, Nihel Adjali, Philippe Page, Benedicte Bouche, Elodie Charrier, Laure Poupin, Delphine Rannou, Géraldine Brumauld de Montgazon, Aline Roy-Moreau, Chantal Wood, Raphaël Rigoard, Romain David, Maarten Moens and Philippe Rigoard.
(2021). Journal of Clinical Medicine, 10, 4676. doi:10.3390/jcm10204676
82. 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
Philippe Rigoard, Amine Ounajim, Lisa Goudman, Pierre-Yves Louis, Yousri Slaoui, Manuel Roulaud, Nicolas Naiditch , Bénédicte Bouche, Philippe Page, Bertille Lorgeoux, Sandrine Baron, Elodie Charrier, Laure Poupin, Delphine Rannou, Géraldine Brumauld de Montgazon, Aline Roy-Moreau, Nelly Grimaud, Nihel Adjali, Kevin Nivole, Mathilde Many, Romain David, Chantal Moens, Raphaël Rigoard, Maarten Moens and Maxime Billot
(2021). Journal of Clinical Medicine, 10, 4910. doi:10.3390/jcm10214910
83. Machine learning algorithms provide greater prediction of response to SCS than lead screening trial: A predictive AIbased multicenter study
Amine Ounajim, Maxime Billot, Pierre-Yves Louis, Yousri Slaoui, Manuel Roulaud, Bénédicte Bouche, Philippe Page, Bertille Lorgeoux, Sandrine Baron, Nihel Adjali, Kévin Nivole, Nicolas Naiditch, Chantal Wood, Raphaël Rigoard, Romain David, Maarten Moens and Philippe Rigoard.
(2021). Journal of Clinical Medicine, 10, 4764. doi:10.3390/jcm10204764
84. Mechanisms of FH protection against neovascular AMD.
Céline Borras, Kimberley Delaunay, Yousri Slaoui, Toufik Abache, Sylvie Jorieux, Marie-Christine Naud, Mohamed El Sanharawi, Emmanuelle Gélisé, Patricia Lassiaz, NA An, Laura Kowalczuk, Cédreic Ayassami, Alexandre Moulin, Francine Behar-Cohen, Frédéric Mascarelli, Virginie Dinet.
Frontiers In Immunology, (2020). doi : 10.3389/fimmu.2020.00443
85. Dynamic changes in renal function are associated with Major Cardiovascular events in patients with type 2 diabetes.
Stéphanie Ragot, Pierre-Jean Saulnier, Gilberto Velho, Elise Gand, Astrid De Hauteclocque, Yousri Slaoui, Louis Potier, Philippe Sosner, Jean Michel Halimi, Philippe Zaoui, Vincent Rigalleau, Frederic Fumeron, Ronan Roussel, Michel Marre, Samy Hadjadj on behalf of the SURDIAGENE and DIABHCAR Study groups.
Diabetes Care, Volume 39, Issue 7, (2016), Pages 1259-1266.
86. The influence of sex on Renal Function Decline in people with Type 2 Diabetes.
Astrid De Hauteclocque, Stéphanie Ragot, Yousri Slaoui, Elise Gand, Aurélie Miot, Philippe Sosner, Jean Michel Halimi, Philippe Zaoui, Vincent Rigalleau, Ronan Roussel, Pierre Jean Saulnier, Samy Hadjadj for the SURDIAGENE Study group.
Diabetic Medicine, Volume 31, Issue 9, (2014), Pages 1121-1128.
87. Genome wide linkage study, using a 250K SNP map, of Plasmodium falciparum infection and mild malaria attack in Senegalese population.
Jacqueline Milet, Grégory Nuel, Laurence Watier, David Courtin, Yousri Slaoui, Paul Senghor, Florence Migot-Nabias, Oumar Gaye and Andre Garcia.
Journal of Public Library of Science, PLOS ONE, Volume 5, Issue 7, (2010), e11616.
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