Yousri Slaoui - Publications

2026

1. Forecasting the amplitude, the location and the width of the peak of a time series using the weighted median.

Azzouz Dermoune, Saïd Maanan, Daoud Ounassi, Yousri Slaoui

Journal of Applied Statistics. (2026), doi : 10.1080/02664763.2026.2734150

2. Handling missing data and parameters initialization method for the ex-gaussian distribution

Alandra Zakkour, Cyril Perret, Yousri Slaoui

Communications in Statistics - Simulation and Computation (2026), doi:10.1080/03610918.2026.2614432.

3. Analysis of Spatial Temporal Model with Intervention Effect on Forest Fires

Nur'ainul Miftahul Huda, Nurfitri Imro'ah, Yousri Slaoui

Journal of Statistical Theory and Practice (2026). Volume 20, Issue 2, doi:10.1007/s42519-025-00517-4

4. Recursive Nonparametric Regression Estimation for Functional Time Series Data under Random Censorship

Yousri Slaoui, Larbi Aït Hennani

Communications in Statistics - Theory and Methods (2026). Volume 55, Issue 12, Pages 3809-3839.

5. Kernel Density Methods for Locally Stationary Processes

Hamdi Fathallah, Syrine Hlaoua, Yousri Slaoui

Journal of Statistical Theory and Practice (2026), Volume 20, article number 20

6. Bernstein polynomial approach for estimating a distribution function and quantiles under a censoring model with dependent data

Mohamed Meftah Sulayman Hamad, Salah Khardani, Yousri Slaoui

Journal of Statistical Theory and Practice (2026), Volume 20, article number 113

2025

7. Parameter estimation for stable distributions and their mixtures

Omar Hajjaji, Solym Manou-Abi, Yousri Slaoui

Journal of Applied Statistics (2025). Volume 52, Issue 8, Pages 1594-1627.

8. Kernel estimators for q-fractional diffusion processes with random effects using q-calculus

Imen Badrani, Mondher Damak, Yousri Slaoui

Communications in Statistics - Theory and Methods (2025). Volume 54, Volume 54, Issue 8, Pages 2429-2450..

9. 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, Yousri Slaoui

Communications in Statistics - Theory and Methods (2025). Volume 54, Pages 2623-2656. )

10. Box-Cox transformation on the estimation of extreme value index and high quantiles for heavy-tailed distributions under dependence serials

Mame Birame Diouf, El Hadji Deme, Sidi Ali Abdi, Yousri Slaoui, Solym Manou-Abi

Mathematical Methods of Statistics (2025). Volume 34, Pages 1-33.

11. Random effects estimation in a fractional diffusion model based on continuous observations

Nersine Chebli, Hamdi Fathallah, Yousri Slaoui

Statistical Inference for Stochastic Processes (2025). doi: 10.1007/s11203-025-09332-x

2024

12. Nonparametric Estimation for Random Effects Models Driven by Fractional Brownian Motion Using Hermite Polynomials

Hamid El Maroufy, Souad Ichi, Mohamed El Omari, Yousri Slaoui

Statistical Inference for Stochastic Processes (2024). Volume 27, Pages 305-333.

13. The discrete q-Gaussian distribution Nq(μ,σ²): Properties and parameters estimation

Oumaima Ben Mrad, Afif Masmoudi, Yousri Slaoui

Physics Letters A (2024). Volume 493, Pages 129249. doi: 10.1016/j.physleta.2023.129249

14. Robust estimator of the Ruin Probability in infinite time for heavy-tailed distributions

El Hadji Deme, Yousri Slaoui, Modou Kebe, Solym Manou-Abi

Statistics (2024). Volume 58, Issue 6, Pages 1401-1422.

15. Nonparametric Recursive Method for Generalized Kernel Estimators for dependent functional Data

Yousri Slaoui

Sankhya A (2024). Volume 86, Pages 392-430.

16. Some properties of q-Gaussian distributions

Oumaima Ben Mrad, Afif Masmoudi, Yousri Slaoui

Communications in Statistics - Theory and Methods, (2024). Volume 53, Issue 17, Pages 6315-6337.

17. Reduced-bias estimator of the ruin probability in infinite time for heavy-tailed distributions

Modou Kebe, El Hadji Deme, Tchilabalo Abozou, Yousri Slaoui

Japanese Journal of Statistics and Data Science, (2024). Volume 7, Issue 2, Pages 815--840.

2023

18. 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, Philippe Rigoard

Statistics in Medicine, (2023). Volume 42, Issue 18, Pages 3259-3282.

19. Kernel estimator of extreme value index and high quantiles for heavy-tailed distributions

Mame Birame Diouf, El Hadji Deme, Solym Manou-Abi, Yousri Slaoui

Afrika Statistika, (2023). Volume 18, Issue 4, Pages 3651-3695.

20. Methodology for nonparametric bias reduction in kernel regression estimation

Yousri Slaoui

Monte Carlo Methods and Applications, (2023). Volume 29, Issue 1, Pages 55-77.

21. Asymptotic Normality of the Regression Mode in the Nonparametric Model

Salim Bouzebda, Salah Khardani, Yousri Slaoui

Communications in Statistics - Theory and Methods, (2023). Volume 52, Issue 19, Pages 7069-7093.

22. Nonparametric recursive estimation for multivariate derivative functions

Salim Bouzebda, Yousri Slaoui

Sankhya A, (2023). Volume 85, Issue 1, Pages 658-690.

23. 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.

24. 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.

25. 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.

2022

26. Moderate deviation principles for nonparametric recursive distribution estimators

Yousri Slaoui

Revista Matemática Complutense, (2022). Volume 35, Issue 1, Pages 145-158.

27. Nonparametric Recursive Method for Moment-Generating Function Estimators

Salim Bouzebda, Yousri Slaoui

Statistics and Probability Letters, (2022), Volume 184, numéro 109422, doi: 10.1016/j.spl.2022.109422.

28. Estimation in a Binomial Stochastic Blockmodel

Abir El Haj, Yousri Slaoui, Pierre-Yves Louis, Zaher Khraibani

Communications in Statistics - Simulation and Computation, (2022). Volume 51, Issue 8, Pages 4450-4469.

29. 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.

30. Recursive kernel regression estimation under alpha-mixing data.

Yousri Slaoui

Communications in Statistics - Theory and Methods, (2022). Volume 51, Issue 24, Pages 8459-8475.

31. 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.

32. 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

33. Bernstein polynomial of recursive regression estimation with censored data.

Yousri Slaoui

Stochastic Models, (2022). Volume 38, Issue 3, Pages 468-487.

34. 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.

35. 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.

36. The stochastic approximation method for semi-recursive multivariate kernel-type regression estimation.

Sahar Slama, Yousri Slaoui and Hamdi Fathallah

Theory of Stochastic Processes, (2022). Volume 26(42), Pages 27-59.

37. Recursive and non-recursive regression estimators using Bernstein polynomials.

Yousri Slaoui and Asma Jmaei

Theory of Stochastic Processes, (2022). Volume 26(42), Pages 60-95.

2021

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

Yousri Slaoui

Computational Statistics, (2021). Volume 36, Issue 1, Pages 79-112.

39. 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.

40. 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.

41. Data-driven deconvolution recursive kernel density estimators defined by stochastic approximation method.

Yousri Slaoui

Sankhya A, (2021). Volume 83, Issue 1, Pages 312-352.

42. 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, (2021). Volume 22, Issue 1, Pages 1-19.

43. Multivariate distribution function estimation using stochastic approximation method.

Sahar Slama and Yousri Slaoui

International Journal of Mathematics and Statistics, (2021). Volume 22, Issue 2, Pages 31-59.

2020

44. Recursive nonparametric regression estimation for independent functional data.

Yousri Slaoui

Statistica Sinica, (2020). Volume 30, Issue 1, Pages 417-437.

45. Adaptive recursive kernel conditional density estimators under censoring data.

Yousri Slaoui and Salah Khardani

Latin American Journal of Probability and Mathematical Statistics (ALEA), (2020). Volume 12, Issue 2, Pages 389-417.

46. Nonparametric relative recursive regression.

Yousri Slaoui and Salah Khardani

Dependence Modeling, (2020). Volume 2, Pages 221-238.

47. Recursive nonparametric regression estimation for dependent strong mixing functional data.

Yousri Slaoui

Statistical Inference for Stochastic Processes, (2020). Volume 23, Issue 3, Pages 665-697.

48. Nonparametric relative recursive regression estimators for Censored Data.

Yousri Slaoui

Stochastic Models, (2020). Volume 36, Issue 4, Pages 638-660.

49. 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, (2020). Volume 25(41), Issue 2, Pages 61-73.

50. Bandwidth selector for nonparametric recursive density estimation for spatial data defined by stochastic approximation method.

Salim Bouzebda and Yousri Slaoui

Communications in Statistics - Theory and Methods, (2020). Volume 49, Issue 12, Pages 2942-2963.

51. Estimation of a distribution function using Lagrange polynomials with Tchebychev-Gauss points.

Salima Helali and Yousri Slaoui

Statistics and Its Interface, (2020). Volume 13, Issue 3, Pages 399-410.

52. Automatic bandwidth selection for recursive kernel density estimators with length-biased data.

Yousri Slaoui

Japanese Journal of Statistics and Data Science, (2020). Volume 3, Issue 2, Pages 429-452.

53. Large and moderate deviation principles for recursive kernel estimators for spatial data.

Salim Bouzebda and Yousri Slaoui

Journal of Stochastic Analysis, (2020). Volume 1, doi: 10.31390/josa.1.1.07.

54. Nonparametric Recursive Method for Kernel-Type Function Estimators for Censored Data.

Salim Bouzebda and Yousri Slaoui

Journal of Stochastic Analysis, (2020). Volume 1, doi: 10.31390/josa.1.3.04.

2019

55. Wild Bootstrap Bandwidth Selection of Recursive Nonparametric Relative Regression for Independent Functional Data.

Yousri Slaoui

Journal of Multivariate Analysis, (2019). Volume 173, Pages 494-511.

56. Optimal bandwidth selection for recursive Gumbel kernel density estimators.

Yousri Slaoui

Dependence Modeling, (2019). Volume 7, Pages 375-393.

57. Large and moderate deviation principles for nonparametric recursive kernel distribution estimators defined by stochastic approximation method.

Yousri Slaoui

Opuscula Mathematica, (2019). Volume 39, Issue 5, Pages 733-746.

58. 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, (2019). Volume 151, Pages 17-28.

59. Nonparametric relative regression under random censorship model.

Salah Khardani and Yousri Slaoui

Statistics and Probability Letters, (2019). Volume 151, Pages 116-122.

60. Recursive density estimators based on Robbins-Monro's scheme and using Bernstein polynomials.

Yousri Slaoui and Asma Jmaei

Journal of Statistics and Its Interface, (2019). Volume 12, Issue 3, Pages 439-455.

61. Recursive kernel density estimation and optimal bandwidth selection under alpha-mixing data.

Salah Khardani and Yousri Slaoui

Journal of Statistical Theory and Practice, (2019). Volume 13, Issue 36, doi: 10.1007/s42519-018-0031-6.

62. Smoothing Parameters for Recursive Kernel Density Estimators under Censoring.

Yousri Slaoui

Communications on Stochastic Analysis, (2019). Volume 13, Issue 2, doi: 10.31390/cosa.13.2.02.

63. 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, (2019). Volume 20, Issue 2, Pages 1-15.

64. 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, (2019). Volume 20, Issue 3, Pages 58-73.

2018

65. Bias reduction in kernel density estimation.

Yousri Slaoui

Journal of Nonparametric Statistics, (2018). Volume 30, Issue 2, Pages 505-522.

66. Nonparametric recursive method for Kernel-Type Function Estimators for Spatial Data.

Salim Bouzebda and Yousri Slaoui

Statistics and Probability Letters, (2018). Volume 139, Pages 103-114.

67. Data-Driven Bandwidth Selection for recursive kernel density estimators under double truncation.

Yousri Slaoui

Sankhya B, (2018). Volume 80, Issue 2, Pages 341-368.

2017

68. Recursive distribution estimators defined by stochastic approximation method using Bernstein polynomials.

Asma Jmaei, Yousri Slaoui and Wassima Dellagi

Journal of Nonparametric Statistics, (2017). Volume 29, Issue 4, Pages 792-805.

69. Recursive kernel density estimators under missing data.

Yousri Slaoui

Communications in Statistics - Theory and Methods, (2017). Volume 46, Issue 18, Pages 9101-9125.

2016

70. On the choice of smoothing parameters for semi-recursive nonparametric hazard estimators.

Yousri Slaoui

Journal of Statistical Theory and Practice, (2016). Volume 10, Issue 4, Pages 656-672.

71. Bandwidth selection in deconvolution kernel distribution estimators defined by stochastic approximation method with Laplace errors.

Yousri Slaoui

Journal of Japan Statistical Society, (2016). Volume 46, Issue 1, Pages 1-26.

72. Smoothing parameters for deconvolution recursive kernel density estimators defined by stochastic approximation method with Laplace errors.

Yousri Slaoui

Journal of the Indian Statistical Association, (2016). Volume 54, Issue 1-2, Pages 193-220.

73. Optimal bandwidth selection for semi-recursive kernel regression estimators.

Yousri Slaoui

Statistics and Its Interface, (2016). Volume 9, Issue 3, Pages 375-388.

2015

74. Plug-In Bandwidth selector for recursive kernel regression estimators defined by stochastic approximation method.

Yousri Slaoui

Statistica Neerlandica, (2015). Volume 69, Issue 4, Pages 483-509.

75. Moderate deviation principles for recursive regression estimators defined by stochastic approximation method.

Yousri Slaoui

International Journal of Mathematics and Statistics, (2015). Volume 16, Issue 2, Pages 51-60.

76. Large and moderate deviation principles for averaged stochastic approximation method for the estimation of a regression function.

Yousri Slaoui

Serdica Mathematical Journal, (2015). Volume 41, Issue 2-3, Pages 307-328.

2014

77. The stochastic approximation method for the estimation of a distribution function.

Yousri Slaoui

Mathematical Methods of Statistics, (2014). Volume 23, Issue 4, Pages 306-325.

78. 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, (2014). Volume 76, Issue 2, Pages 210-233.

79. Bandwidth selection for recursive kernel density estimators defined by stochastic approximation method.

Yousri Slaoui

Journal of Probability and Statistics, (2014). Article ID 739640.

2013

80. Large and Moderate deviation principles for recursive kernel density estimators defined by stochastic approximation method.

Yousri Slaoui

Serdica Mathematical Journal, (2013). Volume 39, Issue 1, Pages 53-82.

2009

81. Revisiting Révész'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, (2009). Volume 6, Pages 63-114.

82. 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, (2009). Volume 139, Issue 7, Pages 2459-2478.

Statistiques appliquées à la biologie

2022

83. Estimation of some epidemiological parameters with the Covid-19 data of Mayotte

Solym Mawaki Manou-Abi, Yousri Slaoui, Julien Balicchi

Frontiers in Applied Mathematics and Statistics, 2022, Volume 8, Article 870080, doi:10.3389/fams.2022.870080

2021

84. 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, Bénédicte Bouche, Elodie Charrier, Laure Poupin, Delphine Rannou, Géraldine Brumauld de Montgazon, Aline Roy-Moreau, Chantal Wood, Raphaël Rigoard, Romain David, Maarten Moens, Philippe Rigoard

Journal of Clinical Medicine, 2021, Volume 10, Issue 20, Article 4676, doi:10.3390/jcm10204676

85. A novel multi-dimensional clinical response index dedicated to improving global assessment of pain in patients with Persistent Spinal Pain Syndrome after spinal surgery

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, Maxime Billot

Journal of Clinical Medicine, 2021, Volume 10, Issue 21, Article 4910, doi:10.3390/jcm10214910

86. Machine learning algorithms provide greater prediction of response to SCS than lead screening trial: A predictive AI-based 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, Philippe Rigoard

Journal of Clinical Medicine, 2021, Volume 10, Issue 20, Article 4764, doi:10.3390/jcm10204764

2020

87. Mechanisms of FH protection against neovascular AMD

Céline Borras, Kimberley Delaunay, Yousri Slaoui, Toufik Abache, Sylvie Jorieux, Marie-Christine Naud, Mohamed El Sanharawi, Emmanuelle Gélis, Patricia Lassiaz, An Na, Laura Kowalczuk, Cédric Ayassami, Alexandre Moulin, Francine Behar-Cohen, Frédéric Mascarelli, Virginie Dinet

Frontiers in Immunology, 2020, Volume 11, Article 443, doi:10.3389/fimmu.2020.00443

2016

88. 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, Frédéric Fumeron, Ronan Roussel, Michel Marre, Samy Hadjadj

Diabetes Care, 2016, Volume 39, Issue 7, Pages 1259–1266

2014

89. 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

Diabetic Medicine, 2014, Volume 31, Issue 9, Pages 1121–1128

2010

90. Genome wide linkage study 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, André Garcia

PLOS ONE, 2010, Volume 5, Issue 7, e11616