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).