Publications scientifiques internationales:

Année 2025

Année 2024

  • Strong convergence of a nonparametric relative error regression estimator under missing data with functional predictors. Adel Boucetta, Zohra Guessoum and Elias Ould Saïd. Journal of the Korean Statistical Society, (2024).
  • Asymptotic normality of a relative error functional regression estimator under left truncation and right censoring. Adel Boucetta, Zohra Guessoum and Elias Ould Saïd. Communications in Statistics – Theory and Methods (2024).
  • On the behavior of the Lynden-Bell estimator in widely orthant-dependent model. Mohamed Kaber El Alem, Zohra Guessoum and Abdelkader Tatachak. Communications in Statistics – Theory and Methods . (2024).
  • Nonparametric estimation of the relative error regression for twice censored and dependent data. Sabrina Benzamouche, Elias Ould Saïd and Ourida Sadki. Communications in Statistics – Theory and Methods (2024).
  • Intercept-only Model under Non-normality. Bouchafaa Asma, Djeddour-Djaballah Khedidja and Benjrada Mohammed Essalih. Thailand Statistician, (2024).
  • Statistical analysis of stable distribution. Application in non life insurance. A.Laouar and K.Boukhetal, R. Sabre. Finance: theory and practice. (2024).

Année 2023

Année 2022

  • Time-varying dependence of Bitcoin. Adlane Haffar and Éric Le Fur. The Quarterly Review of Economics and Finance, (2022).
  • Kernel regression estimation for LTRC and associated dataSiham Bey, Zohra Guessoum et Abdelkader Tatachak Communications in Statistics Theory and Methods, (2022).
  • Simulating the behavior of a kernel M-estimator for left-truncated and associated modelAsma Gheliem et Zohra Guessoum. Communications in Statistics Simulation and Computation, (2022).
  • Asymptotic properties of asymmetric kernel estimators for non-negative and censored dataSarah Ghettab et Zohra Guessoum.  Communications in Statistics Theory and Methods, (2022).
  • Hazard rate estimation from associated and contaminated data: strong uniform consistency. 
    Mohammed Es-salih Benjrada and Khedidja Djaballah.  Communications in Statistics – Simulation and Computation , (2022).
  • Deconvolving Cumulative Density from Associated Random Processes. Es-salih Benjrada M.  . Thailand Statistician, (2022).
  • Test for linearity in non-parametric regression models. K. Djaballah-Djeddour and M. Tazerouti. Austrian Journal of Statistics, (2022).
  • Dependence structure of CAT bonds and portfolio diversification: a copula-GARCH approach. Adlane Haffar and Éric Le Fur. Journal of Asset Management, (2022).

Année 2021

  • Structural vector error correction modelling of Bitcoin price. Adlane Haffar and Éric Le Fur. The Quarterly Review of Economics and Finance, (2021).
  • Kernel conditional density and mode estimation for psi-weakly dependent observationsRih Soumia et Abdelkader Tatachak.  Communications in Statistics Theory and Methods, (2021).

Année 2020

  • Penalised quantile periodogram for spectral estimation. A. Meziani, T. Medkour, K. Djouani. Journal of Statistical Planning and Inference, (2020).
  • Testing discrete-valued time series for whiteness. H. Brairi and T. Medkour. Journal of Statistical Planning and Inference, (2020).
  • Strong uniform consistency rate of an M-estimator of regression function for incomplete data under α-mixing condition. Benseradj Hassiba et Guessoum Zohra. Communications in Statistics Theory and Methods, (2020).
  • Asymptotic Results for Truncated-censored and Associated DataGuessoum Zohra et Tatachak Abdelkader.  Sankhya B, (2020).
  • Performing Parallel Monte Carlo and Moment Equations Methods for Itô and Stratonovich Stochastic Differential Systems: R Package Sim.DiffProc. Guidoum, A. C., and  Boukhetala, K.   Journal of Statistical Software, 96(2)  (2020).
  • A closed-form approximation for pricing geometric Istanbul options . M.Kacef , K.Boukhetala.  International Journal of Revenue Management Vol.11 No.4 . (2020).

Année 2019

  • A Lasso quantile periodogram based feature extraction for EEG-based motor imagery. A. Meziani, K. Djouani, T. Medkour and A. Chibani . Journal of Neuroscience Methods, (2019).
  • Some properties of a kernel conditional quantile estimator for associated data. Adjoudj Latifa et Tatachak Abdelkader. Biostatistics and Health Sciences’ (BHS), (2019).
  • Strong uniform consistency of a kernel conditional quantile estimator for censored and associated dataW. Djelladj and A. Tatachak. HJMS  (2019).
  • Quasi-maximum likelihood estimation of GARCH with student distributed noise.  Khedidja Djaballah and  Kerar Lynda. Communication in Statistics- Simulation and Computation, (2019).

Année 2018

  •  Conditional Quantile Estimation for Truncated and Associated Data. L. Adjoudj and A. Tatachak.  Communication in Statistics Theory and Methods (2018).
  • On kernel hazard rate function estimate for associated and left truncated data Z. Guessoum and A. Tatachak. RevStat. (2018).
  • A note on estimating the conditional expectation under censoring and association: strong uniform consistency. N. Menni and A. Tatachak Stat. Pap. (2018).

Année 2017

  • Asymptotic properties of the kernel mode estimator under twice censorship model. Z. Guessoum, M. A. Mansouri and E. Ould Said. Communication in Statistics Theory and Methods  (2017).
  • Convergence Rate of the Kernel Regression Estimator for Associated and Truncated Data. Z. Guessoum and F. Hamrani. Journal of Non Parametric Statistics (2017).
  • Asymptotic behavior of the Laplacian quasi-maximum likelihood estimator of affine causal processes. Jean-Marc Bardet, Yakoub Boularouk and Khedidja Djaballah. Electronic Journal of Statistics, (2017).

Année 2016

  • On kernel density and mode estimates for associated and censored data. Y. Ferrani, E. Ould Said and A. Tatachak. Communication in Statistics Theory and Methods  (2016).
  • Bayesian estimation of the tail index of a heavy tailed distribution under random censoring. Abdelkader Ameraoui, Kamal Boukhetala  and  Jean-FrançoisDupuy  Computational Statistics & Data Analysis, (2016).

Année 2015

  • A kernel mode estimate under random left truncation and time series model: asymptotic normality. O. Benrabah, E. Ould Saïd and A. Tatachak. Stat. Pap. (2015).

Année 2014

  • Non symmetric kernel regression estimators for censored data: application to beta kernel .  Z. Guessoum, S. Ghettab. New Perspectives on Stochastic Modeling and Data Analysis , 137-146, (2014).

Année 2013

  • Application of Threshold Autoregressive Model: Modeling and Forecasting Using U.S. Export Crude Oil Data. Djeddour K, Boularouk Y.  American Journal of Oil and Chemical Technologies, issue 9, (2013).
  • A nonparametric mode estimate under LTRC model and dependent data. Y. Chaib, H. Boutabia and O. Sadki. South African Statistical Journal, (2013).

Année 2012

  • A note on the Lynden-Bell estimator under association. Z. Guessoum, E. Ould Said, O. Sadki, A. Tatachak. Statistics and Probability Letters 82, 1994-2000, (2012).
  • Central limit theorem for the kernel estimator of the regression function for
    censored time series. Z. Guessoum, E. Ould Said. Journal of NonParametric Statistics.  (2012).

Année 2011

  • Asymptotic normality for a smooth kernel estimator of the conditional quantile for censored time series. Elias Ould Saïd,  Ourida Sadki.  South African Statistical Journal 45(1):65-98. (2011).

Année 2010

  • Kernel regression uniform rate estimation for censored data under alpha-mixing
    condition. Z. Guessoum, E. Ould Said. Electronic Journal of Statistics. Vol 4, (2010).

Année 2009

  • Graphical modelling for brain connectivity via partial coherence. T Medkour, AT Walden, A Burgess . Journal of neuroscience methods, (2009).
  • On the nonparametric estimation of the simple model under random left-truncation model.  Ould Said E. and Tatachak A.  Revue roumaine de mathématiques pures et appliquées. Tome Liv, N° 3, (2009).
  • Strong consistency rate for the kernel mode estimator under strong mixing hypothesis and left truncation.Ould Said E, Tatachak A.  Communications in Statistics-Theory and Methods, (2009).

Année 2008

  • On the Recursive Estimation of the Location and of the Size of the Mode of a Probability Density. Djeddour-Djaballah, Khédidja; Mokkadem, Abdelkader; Pelletier, Mariane. Serdica Mathematical Journal (2008).
  • Prediction via the conditional quantile for right censorship model. Elias Ould Saïd and Ourida Sadki. Far East Journal of Theoretical Statistics 25(2), (2008).
  • On nonparametric estimation of the regression function under random censorship
    model. Z. Guessoum, E. Ould Said. Statistic & Decision 26, 159-177, (2008).

Année 2007

  • Asymptotic properties of the kernel estimator of the conditional mode for the left truncated modelOuld-Said  E. and TatachakC.R.Acad.Sci.Paris, Elsevier, (2007).

Année 2006

  • A model of optimum algorithm tariff in vehicle fleet insuranceBoukhetala K, Belhia F,  Salmi R COMPSTAT, (2006)