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Publications 2016

  1. F. Benziadi A. Laksaci, and F. Tebboune  Recursive  kernel estimate of the conditional quantile for functional ergodic  data, Comm.  Statist. Theory and Methods, 45, 3097--3113,(2016).
  2. W.Mechab and A. Laksaci, Nonparametric relative regression for associated random variables.Metron 74, 75--97 (2016).
  3. F.Benziadi,  A. Laksaci and F. Tebboune, Note on conditional quantiles for functional ergodic data. C. R. Math. Acad. Sci. Paris 354, 628--633, (2016).
  4. J. Demongeot,  A. Hamie, A. Laksaci, M. Rachdi. Relative-error prediction in nonparametric functional statistics: theory and practice. J. Multivariate Anal. 146 261--268, (2016).
  5. F. Benziadi, A. Gheriballah and A. Laksaci, Asymptotic normality of kernel estimator of $\psi$-regression function for functional ergodic data , New Trends in Mathematical Sciences Volume: 4,  268-282, (2016). 633, (2016).
  6. M. Attouch, A. Laksaci and  N. Messabihi   Nonparametric relative error regression for spatial random variables.  Statistical Papers,  Doi 10.1007/s00362-015-0735-6
  7. F.Z. Ardjoun   L.  Ait Hennani,    A. Laksaci ,  A recursive kernel estimate of the functional modal regression under ergodic dependence condition.  Doi DOI:10.1080/15598608.2016.1183245
  8. L. Z. Kara , A. Laksaci, M. Rachdi and Ph. Vieu Uniform in bandwidth consistency results for various kernel estimators involving functional data, J . Nonparametr. Stat. (accepted ).
  9. J. Demongeot, A. Laksaci, A. Naceri  and M. Rachdii    Local linear estimation of the regression function  with Hilbertian variables.C. R. Math. Acad. Sci. Paris (accepted).
  10. L. Z. Kara , A. Laksaci, M. Rachdi and Ph. Vieu, Data-driven $k$NN estimation in nonparametric functional data analysis (In revision).

Publications 2015

  1. S. Dabo-Niang, Z. Kaid  and A. Laksaci Asymptotic properties of the kernel estimate of the spatial conditional mode when the regressor is functional, AStA Advances in Statistical Analysis, 99, 131--160, (2015).
  2. AZZOUZI, A.s RABHI, S.BENAISSA ,Complete Convergence of Moving Average Processes With Psi-Mixing Sequences,International Journal of Statistics & Economics,2015, Volume 16, Issue Number: 2,1-6.
  3. S. Derrar, A. Laksaci and  E. Ould Saïd, On the nonparametric estimation of the functional $\psi$-regression for a random left-truncation model. J. Stat. Theory Pract. 9, 823--849. (2015).
  4. A. Naceri, A. Laksaci  and M.  Rachdi Exact Quadratic Error of the Local Linear Regression Operator Estimator for Functional Covariates, Functional Statistics and Applications, Selected Papers from MICPS-2013,  79-90, Springer , 2015.
  5. S. Attaoui, A. Laksaci  and  E. Ould-Said  Elias Asymptotic Results for an M-Estimator of the Regression Function for Quasi-Associated Processes, Functional Statistics and Applications, Selected Papers from MICPS-2013, 3-28, Springer, 2015.
  6. T. Benchikh, Approximation of Strictly Stationary Banach-Valued Random Sequence by Fourier Integral, Functional Statistics and Applications, Selected Papers from MICPS-2013,51-58, Springer, 2015.

Publications 2014

 

  1. Rachdi, M., Laksaci, A., Demongeot, J., Abdali, A. and Madani, Theoretical and practical aspects on the quadratic error in the local linear estimation of the conditional density for functional data. Computational Statistics and Data Analysis, 73, 53-68, (2014).
  2. A. Laksaci and B. Mechab Conditional hazard estimate for functional random fields, J. Stat. Theory Pract, 8, 192—220, (2014).
  3. J. Demongeot, A. Laksaci, M. Rachdi and S. Rahmaani On the local linear modelization of the conditional distribution for functional data, Sankhya A 76 328—355, (2014).

  4. S. Semmar and S. Khardani Nonparametric conditional density estimation using recursive kernel with censored data, Electronic Journal of Statistics, 8, 2541-2556. (2014)

  5. A. Bouadjemi Asymptotic normality of the recursive kernel estimate of conditional cumulative distribution function, Journal of Probability and Statistical Science, 12, 117-126, (2014).

  6. Attouch M.K, Belabed Z. The k nearest neighbors estimation of the conditional hazard function for functional data.REVSTAT, 12,273-297, ( 2014)

     

 

Publications 2013

  1. Demongeot, J.,   Laksaci, A.,    Madani, F.  Rachdi, M.   Functional data: Local linear estimation of the conditional density and its application,  Statistics, 47, pp. 26-44 (2013).
  2. Gheriballah, A. Laksaci and S. Sekkal  Nonparametric M-regression for functional ergodic  Stat. Probab . Lett 83, 902-908, (2013).
  3. S. Dabo-Niang, Z. Kaid and A. Laksaci  Spatial conditional quantile regression: Weak consistency of a kernel estimate  Revue Roumaine  de Mathématique Pures et Appliquées  (accepted) .
  4. S. Dabo-Niang, Z. Kaid  and A. Laksaci Asymptotic properties of the kernel estimate of the spatial conditional mode when the regressor is functional (en révision ).
  5. Laksaci A.  and B. Mechab  Conditional hazard estimate for functional random fields (en révision).
  6. F. Benziadi  A. Laksaci,  and F.  Tebboune    Recursive kernel estimate of the conditional quantile for functional ergodic data, (en révision).
  7. M. Rachdi, A. Laksaci, J. Demongeot, A. Abdali and F.Madani.   Theoretical and practical aspects on the quadratic error in the local linear estimation of the conditional density for functional data, (en révision).
  8. A. Laksaci, S. Rahmaani and Rachdi Spatial modelization : local linear estimation of conditional distribution for functional data.Spatial Statistics, 6, 1-23, (2013)
  9. A. Laksaci, F. Madani and M. Rachdi. Kernel conditional density estimation when the regressor is valued in a semi-metric space ,Comm. Statist. Theory and Methods, 42,3544-3570,  (2013).

 

Publications 2012

  1. M.K. Attouch, Z. Chikr El Mezouar, M. Gabr. Linear Regression with Bilinear Time Series Errors. PanAmerican Mathematical Journal, 1, 1-13, 2012.
  2. M.K. Attouch, T. Benchik. Asymptotic distribution of robust k-nearest neighbour for functional nonparametricmodels.Matematicki Vesnik , 64, 275-285, 2012.
  3. Z. Chikr El Mezouar, M.K. Attouch. Using Iterative linear regression model to time seriesmodels. Electronic Journal of Applied Statistical Analysis, EJASA,N°2, Vol 5, 137-150, 2012.
  4. S. Dabo-Niang, Z. Kaid and A. Laksaci, Sur la régression par quantile pour variable explicative fonctionnelle: Cas des données spatiales  C. R. Math. Acad. Sci. Paris 349,  1287-1291, (2012).
  5. S. Dabo-Niang  and A. Laksaci,  Functional quantile regression estimation: Application to functional times series prediction,  Comm. Statist. Theory and Methods,  41 1254-1268, (2012).
  6. S. Dabo-Niang, Z. Kaid and A. Laksaci, On spatial conditional mode estimation for a functional regressor  Stat. Probab . Lett.    82  ,1413-1421, (2012).
  7. Attouch M.,  Chouaf B.  and Laksaci  A.   Nonparametric M-estimation for functional spatial data, communication of the Korean Statistical society, 19,  193-211, (2012).
  8. M. Attouch, A. Gheriballah and A. Laksaci Convergence Presque complète d´un estimateur robuste  de la régression non paramétrique fonctionnelle: Cas spatial,  Pub.  Inst. Stat. Univ. Paris LI,  Ann. I.S.U.P.  56 3-16, (2012).
  9. N. Hachemi and A. Laksaci, Estimation de la régression pour variable explicative et réponse fonctionnelles dépendantes,  J. Probab. and Stat . Sci. 10, 153-160, (2012).
  10. F. Ferraty, A. Laksaci, A. Tadj, P. Vieu. Estimation de la  régression pour variable explicative et réponse fonctionnelles dépendantes  C. R. Math. Acad. Sci. Paris 350 no. 13-1430, (2012).
  11. A. Chouaf  and Laksaci A.  On the functional local linear estimate for spatial regression. Stat. Risk Model. 29 no. 3, 189--214 31, (2012).
  12. M. Attouch, A. Laksaci and E. Ould-Said Strong uniform convergence rate of a robust estimator of the regression function forfunctional and dependent processes, Journal of the japan statistical society,42, 125-143. (2012)

 

Publications 2011

  1. M. Attaoui,  S.    A. Laksaci and E. Ould-Said  A note on  n the conditional density estimate in  the  single functional index mode Stat. Probab . Lett.  81 45-53, (2011).
  2. Ferraty, F.,  Laksaci, A., Tadj, A., Vieu. P., Kernel regression with functional response, Electronic Journal of Statistics,  5, 159-171, (2011).
  3. A. Laksaci, M. Lemdani  and    E. ould-said  Asymptotic results for an $L^1$-norm kernel estimator of the conditional  quantile for functional time series data, Sunkhya  37-A,  124-141, (2011).

Publications 2010

  1. A. Laksaci  and    B. Mechab  Estimation non-paramétrique de la  fonction de hasard avec variable explicative fonctionnelle: Cas des données spatiales, Revue Roumaine de Mathématique Pures et Appliquées 55, 35-51 (2010).
  2. A.Gheriballah, A. Laksaci   and R. Rouane.  Robust nonparametric estimation for spatial regression,  Journal  of  Statistical Planning and Inference, 140, 1656-1670 (2010).
  3. F. Ferraty, A. Tadj, A. Laksaci and P. Vieu    Rate of uniform consistency for nonparametric estimates with functional variables,  Journal  of  Statistical Planning and Inference, 140, 335-352, (2010).
  4. Demongeot, J.,    Laksaci, A.,    Madani, F. Rachdi, M.  Estimation locale linéaire de la densité conditionnelle pour des données fonctionnelles. C. R. Math. Acad. Sci. Paris 348 , 931-934, (2010).
  5. M. Attouch, A. Laksaci  and   E. Ould-Said  Asymptotic normality of a robust estimator of the regression function for functional time series data, Journal of the Korean Statistical Society, 39,  489-500,  (2010).
  6. S. Dabo-Niang  and    A. Laksaci,  Note on conditional mode estimation for functional dependent data, Statistica   70, 83-94, ( 2010).
  7. M. Attouch, A. Laksaci, E. Ould Said. Estimation non paramétrique robuste de la fonction de régression. Variables fonctionnelles. Editions Universitaires Européennes, 2010. ISBN: 978-613-1-50678-9.

Publications 2009

  1. A. Laksaci, M.  Lemdani  and    E. Ould-said  A generalized L_1-approach for a kernel estimator of conditional quantile with functional regressors: Consistency and asymptotic normality,      Stat. Probab . Lett.    79 ,1065-1073, (2009).
  2. M. Attouch, A. Laksaci and   E. Ould-Said  Asymptotic distribution of robust estimator for  functional nonparametric modes,    Comm. Statist. Theory and Methods, 38, 1317-1335,  (2009).
  3. A. Laksaci and    F. Maref  Conditional cumulative distribution  estimation and its applications, J. Probab. and  Stat . Sci. 7 57-69, (2009).
  4. A. Laksaci and    F. Maref  Estimation non paramétrique de quantiles conditionnels pour des variables fonctionnelles spatialement dépendantes, C. R., Math., Acad. Sci. Paris 347, 17, 1075-1080  (2009).

 

 
Mise à jour le Mardi, 28 Juin 2016 10:06