Production scientifiques internationale:

  • Kernel regression estimation for LTRC and associated data. Siham Bey, Zohra Guessoum et Abdelkader Tatachak.  Communications in Statistics Theory and Method, (2022).
  • Simulating the behavior of a kernel M-estimator for left-truncated and associated model. Asma Gheliem et Zohra Guessoum. Communications in Statistics Simulation and Computation, (2022).
  • Asymptotic properties of asymmetric kernel estimators for non-negative and censored data. Sarah Ghettab et Zohra Guessoum.  Communications in Statistics Theory and Method, (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).
  • Kernel conditional density and mode estimation for psi-weakly dependent observations. Rih Soumia et Abdelkader Tatachak.  Communications in Statistics Theory and Method, (2021).
  • 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 Method, (2020).
  • Asymptotic Results for Truncated-censored and Associated Data. Guessoum 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).
  • 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 data. W. 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).
  •  Conditional Quantile Estimation for Truncated and Associated Data. L. Adjoudj and A. Tatachak.  CSTM  (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).
  • Asymptotic properties of the kernel mode estimator under twice censorship model. Z. Guessoum, M. A. Mansouri and E. Ould Said. CSTM  (2017).
  • Convergence Rate of the Kernel Regression Estimator for Associated and Truncated Data. Z. Guessoum and F. Hamrani. JNPS(2017).
  • On kernel density and mode estimates for associated and censored data. Y. Ferrani, E. Ould Said and A. Tatachak. CSTM  (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).
  • 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).
  • 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).
  • 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 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).
  • 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).
  • Kernel regression uniform rate estimation for censored data under alpha-mixing
    condition. Z. Guessoum, E. Ould Said. Electronic Journal of Statistics. Vol 4, (2010).
  • 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).
  • 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).
  • Asymptotic properties of the kernel estimator of the conditional mode for the left truncated model. Ould-Said  E. and Tatachak A C.R.Acad.Sci.Paris, Elsevier, (2007).
  • A model of optimum algorithm tariff in vehicle fleet insurance. Boukhetala K, Belhia F,  Salmi R COMPSTAT, (2006)