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Salim BOUZEBDA Enseignant-chercheur

Professeur des Universités | GI - Génie Informatique | LMAC - Laboratoire de Mathématiques Appliquées de Compiègne

Some recent papers :

http://lmac.utc.fr/auteur/salim-bouzebda

  • S. Bouzebda et A.A. Ferfache. Asymptotic Properties of Semiparametric M-Estimators with Multiple Change Points. Physica A. Statistical Mechanics and its Applications. 609 (2023). 128363. pp. 1—29. https://doi.org/10.1016/j.physa.2022.128363
  • S. Bouzebda et I. Soukarieh. Renewal type Bootstrap for increasing degree U-process of a Markov chain. J. Multivariate Anal. 195C (2023). 25 pp. https://doi.org/10.1016/j.jmva.2022.105143
  • S. Bouzebda et N. Taachouche. On the variable bandwidth kernel estimation of conditional U-statistics at optimal rates in sup-norm. Physica A. Statistical Mechanics and its Applications. (2023). pp. 1-72. https://doi.org/10.1016/j.physa.2023.129000
  • S. Bouzebda, I. Elhattab et A.A. Ferfache. General M-Estimator Processes and their m out of n Bootstrap with Functional Nuisance Parameters. Methodol. Comput. Appl. Probab. 24(2022), no. 4, 2961–3005. https://doi.org/10.1007/s11009-022-09965-y
  • S. Bouzebda et M. Chaouch. Uniform limit theorems for a class of conditional Z-estimators when covariates are functions. J. Multivariate Anal. 189 (2022). Paper No. 104872, 21 pp. (Full paper 44pp). https://doi.org/10.1016/j.jmva.2021.104872
  • M. Mohamedi, S. Bouzebda et A. Laksaci. The Consistency and Asymptotic Normality of the Kernel type Expectile Regression Estimator for Functional Data. J. Multivariate Anal. (2021). Volume 181, 104673. 24 pp. https://doi.org/10.1016/j.jmva.2020.104673
  • S. Bouzebda et A.A. Ferfache. Asymptotic properties of M-estimators based on estimating equations and censored data in models with multiple change points. Journal of Mathematical Analysis and Applications. 497(2021). no. 2, 124883. 44 pp. https://doi.org/10.1016/j.jmaa.2020.124883
  • S. Bouzebda et T. El-hadjali. Uniform Convergence Rate of the Kernel Regression Estimator Adaptive to Intrinsic Dimension in Presence of Censored Data. J. Nonparametr. Stat. 32(2020) no. 04, pp. 864—914. https://doi.org/10.1080/10485252.2020.1834107
  • S. Bouzebda et B. Nemouchi. Uniform consistency and uniform in bandwidth consistency for nonparametric regression estimates and conditional U-statistics involving functional data. J. Nonparametr. Stat. 32(2020) no. 02, pp. 452—509. https://doi.org/10.1080/10485252.2020.1759597
Salim Bouzebda

Contacts

Salim BOUZEBDA
Professeur des Universités
Directeur du Laboratoire LMAC EA 2222

Université de Technologie de Compiègne,
Laboratoire de Mathématiques Appliquées de Compiègne (L.M.A.C.)
Département Génie Informatique

Bâtiment Blaise Pascal
57 Avenue de Landshut
CS 60319
60203 COMPIEGNE CEDEX

Bureau : GI 126
E-mail : salim.bouzebda@utc.fr
Tél :  (+33) 3 44 23 44 69
Fax: (+33) 3 44 23 44 77
Publications
Data Science
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