{"id":2163,"date":"2021-12-17T22:01:44","date_gmt":"2021-12-17T21:01:44","guid":{"rendered":"http:\/\/localhost\/lsps\/?page_id=2163"},"modified":"2025-07-01T11:19:06","modified_gmt":"2025-07-01T10:19:06","slug":"bilan-equipe-1","status":"publish","type":"page","link":"https:\/\/www.univ-sba.dz\/lsps\/bilan-equipe-1\/","title":{"rendered":"Bilan equipe 1"},"content":{"rendered":"\t\t
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Bilan equipe 1<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Bilan de l\u2019\u00e9quipe Statistique non param\u00e9trique fonctionnelle<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Publications A :<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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  1. Tawfik Benchikh<\/strong>, Ibrahim M Almanjahie,\u00a0Omar Fetitah, Mohammed Kadi Attouch<\/strong>, \u00a0Estimation for spatial semi-functional partial linear regression model with missing response at random<\/a>(2025)<\/strong>, Demonstratio Mathematica,\u00a0 58 (1), pp. 1-17,\u00a0https:\/\/doi.org\/10.1515\/dema-2025-01080<\/a><\/p><\/li>

  2. Mohamed El Ouard Baouche, Tawfik Benchikh, Omar Fetitah<\/strong>, Toufik Guendouzi,\u00a0Spatial\u00a0kNN-local linear estimation for semi-functional partial linear regression\u00a0(2025)<\/strong>, Hacettepe Journal of Mathematics and Statistics, 54 (3),\u00a01164 \u2013 1186,\u00a0DOI: 10.15672\/hujms.1640600.<\/p><\/li>

  3. Omar Fetitah, Ali Righi, Sidahmed Benchiha, Mohammed Kadi Attouch<\/strong>, Relative error regression function estimation using the Bernstein polynomials approach<\/a>(2025)<\/strong>, Communications in Statistics-Theory and Methods, 1-32.<\/p><\/li>

  4. \u00a0Amal Soliman Hassan, Diaa S Metwally, Hatem Elsayed Semary, Sid Ahmed Benchiha<\/strong>, Ahmed M Gemeay, Mohamed Elgarhy,\u00a0Improved estimation based on ranked set sampling for the Chris-Jerry distribution with application to engineering data<\/a>,\u00a0(2025)<\/strong>, Computational Journal of Mathematical and Statistical Sciences, 4(2), 424\u2013456 DOI:10.21608\/cjmss.2025.375962.1156.<\/p><\/li>

  5. Sid Ahmed Benchiha<\/strong>, Amer Ibrahim Al-Omari, Ghadah Alomani,\u00a0Enhanced Estimation of the Unit Lindley Distribution Parameter via Ranked Set Sampling with Real-Data Application<\/a>(2025)<\/strong>,\u00a0Mathematics<\/em>,\u00a013<\/em>(10),1645;\u00a0https:\/\/doi.org\/10.3390\/math13101645<\/a>.<\/p><\/li>

  6. \u00a0Gagui, Abdelmalek and\u00a0Chouaf, Abdelhak<\/strong>. \u00ab\u00a0Nonparametric local linear estimation of the conditional distribution for functional and censored data\u00a0\u00bb\u00a0Random Operators and Stochastic Equations<\/em>,\u00a02025<\/strong>.\u00a0https:\/\/doi.org\/10.1515\/rose-2025-2014.<\/a><\/p><\/li>

  7. Nassima Kedir, Houda, Tawfik Benchikh, Amina Naceri, Omar Fetitah,\u00a0\u00a0<\/strong>Local linear-\u00a0NN smoothing for semi-functional partial linear regression,\u00a0(2024)<\/strong>, Hacettepe Journal of Mathematics and Statistics, 53 (2), 537-555.<\/li>
  8. Najwan Alsadat, Amal S Hassan, Mohammed Elgarhy, Vasili BV Nagarjuna, Sid Ahmed Benchiha,<\/strong>\u00a0Ahmed M Gemeay,\u00a0<\/span>A novel asymmetric extension of power XLindley distribution: properties, inference and applications to engineering data<\/a>\u00a0(2024), Physica Scripta, 99 (10), 105262.\u00a0<\/span>DOI<\/strong>\u00a010.1088\/1402-4896\/ad77fa.<\/span><\/li>

  9. Najwan Alsadat, Amal S. Hassan,\u00a0 Mohammed Elgarhy,\u00a0 Vasili B. V. Nagarjuna,\u00a0 Sid Ahmed Benchiha<\/strong>, Ahmed M. Gemeay. Optimal Estimation of Power Chris-Jerry Distribution Parameters Using Ranked Set Sampling Design with Application\u00a0(2024)<\/strong>,\u00a0https:\/\/doi.org\/10.21203\/rs.3.rs-4396576\/v1.<\/a><\/p><\/li>

  10. \u00a0Fadila Benaissa<\/a>,\u00a0Chouaf Abdelhak<\/strong><\/a>, Asymptotic properties of a nonparametric conditional distribution function estimator in the local linear estimation for functional data via a functional single-index model,\u00a02024<\/strong>,\u00a0Acta Universitatis Sapientiae Mathematica<\/a>\u00a016(1):109\u2013135, DOI:\u00a047745\/ausm-2024-0010<\/a>.<\/p><\/li>

  11. I. Almanjahie,\u00a0O. Fetitah, M. Attouch and T. Benchikh<\/strong>. (2023). Functional nonparametric predictions in food industry using near-infrared spectroscopy measurement, Computers, Materials and Continua 74(3):6307-6319.<\/li>
  12. \u00a0F. Alshahrani, I.M. Almanjahie,\u00a0T. Benchikh, O. Fetitah<\/strong>\u00a0and\u00a0Mohammed Kadi Attouch<\/strong>, \u201cAsymptotic Normality of onparametric Kernel Regression Estimation for Missing at Random Functional Spatial Data\u201d, Journal of Mathematics, Volume 2023, Hindawi,\u00a0 Article ID 8874880, 20 pages,\u00a0https:\/\/doi.org\/10.1155\/2023\/8874880<\/a>.<\/li>
  13. SA Benchiha<\/strong>, AI Al-Omari, G Alomani, (2022), Goodness-of-Fit Tests for Weighted Generalized Quasi-Lindley Distribution Using SRS and RSS with Applications to Real Data,\u00a0Axioms<\/strong>\u00a011 (10), 490.<\/li>
  14. AI Al-Omari,\u00a0SA Benchiha<\/strong>, IM Almanjahie, (2022), Efficient estimation of two-parameter Xgamma distribution parameters using ranked set sampling design,\u00a0Mathematics\u00a0<\/strong>10 (17), 3170.<\/li>
  15. Chouaf Abdelhak<\/a>,\u00a0Abdelmalek Gagui<\/a><\/strong> (2022). \u00a0On the nonparametric estimation of the conditional hazard estimator in a single functional index. \u00a0Statistics in Transition New Series 23(2):89\u2013105.\u00a0\u00a0\u00a0 DOI: 10.2478\/stattrans-2022-0018.<\/li>
  16. SAADAOUI Allal,\u00a0<\/strong>Fadila Benaissa<\/a>\u00a0and\u00a0Chouaf Abdelhak<\/strong>,\u00a0<\/strong>On the local linear estimation of a generalized regression function with spatial functional data.\u00a0<\/strong>COMMUNICATIONS IN\u00a0 STATISTICS-THEORY\u00a0 AND\u00a0 \u00a0\u00a02022\u00a0<\/strong>https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/03610926.2022.2064499.<\/li>
  17. Asymptotic results of semi-functional partial linear regression estimate under functional spatial dependency<\/a>. M Benallou, MK Attouch<\/u>, T Benchikh<\/u>,<\/strong> O Fetitah. Communications in Statistics-Theory and Methods, 1-21, (2021).<\/li>
  18. AI Al-Omari,\u00a0SA Benchiha<\/strong>, IM Almanjahie, (2021), Efficient Estimation of the Generalized Quasi-Lindley Distribution Parameters under Ranked Set Sampling and Applications Mathematical Problems in Engineering.<\/li>
  19. SA Benchiha<\/strong>, AI Al-Omari, (2021), Generalized quasi Lindley distribution: theoretical properties, estimation methods and applications.\u00a0<\/strong>Electronic Journal of Applied Statistical Analysis 14 (1)<\/li>
  20. SA Benchiha<\/strong>, AI Al-Omari, N Alotaibi, M Shrahili, (2021), Weighted generalized Quasi Lindley distribution: Different methods of estimation, applications for Covid-19 and engineering data,\u00a0AIMS Math<\/strong>\u00a06, 11850-11878<\/li>
  21. SA Benchiha<\/strong>, AI Al-Omari, (2021), Goodness of Fit Tests for Generalized Quasi Lindley Distribution,<\/strong>\u00a0Journal of Xi\u2019an Shiyou University, Natural Science Edition, 17(12), 480-495.<\/li>

  22. Chaima Hebchi<\/strong><\/a>,\u00a0Chouaf Abdelhak<\/a>\u00a0<\/strong>(2021). Local linear estimation of conditional cumulative distribution function in the functional data: Uniform consistency with convergence rates.\u00a0Kybernetika \u2013Praha.\u00a0<\/u>DOI:\u00a010.14736\/kyb-2021-5-0819<\/a>.<\/p><\/li>

  23. Habibech M.;\u00a0Benchikh Tawfik,<\/strong>\u00a0A comparison study between artificial neural network (ANN) and Genetic algorithms (GA) and Box-Jenkins (BJ) modeling in chaotic time series prediction. International Journal of Tomography and Simulation. Volume 32, Issue Number 4, 2019.<\/li>
  24. Gagui Abdelmalek,\u00a0CHOUAF Abdelhak<\/strong>, Strong uniform consistency rates of conditional hazard estimator via a functional single-index model . International Journal of Statistics and Economics; IJSE,\u00a0 2019, Volume 20, Issue Number: 4. http:\/\/www.ceser.in\/ceserp\/index.php\/bse.<\/li>
  25. T. Benchikh, K. Mankour<\/b>, Canonical development of second order Banach-valued random element, International Journal of Statistics and Economics, Volume 9, issue 1, 2018.<\/li>

  26. M. Attouch, A. Laksaci and\u00a0 N. Messabihi\u00a0\u00a0\u00a0<\/span>Nonparametric relative error regression for spatial random variables<\/a>.\u00a0 Statistical Papers, Volume:\u00a0<\/span>58<\/strong>\u00a0Issue: 4 Pages: 987-1008, (2017).<\/span><\/p><\/li>

  27. M. Attouch, A. Laksaci and\u00a0 F, Rafaa\u00a0Local linear estimate of the regression operator by the kNN method.\u00a0COMPTES RENDUS MATHEMATIQUE,\u00a0355<\/strong>\u00a0Issue 7;\u00a0 824-829, (2017).<\/li>
  28. L. Z. Kara , A. Laksaci, M. Rachdi and Ph. Vieu,\u00a0Data-driven NN estimation in nonparametric functional data analysis<\/a>\u00a0J. Multivariate Anal.<\/em>\u00a0153<\/strong>,\u00a0 176-188, (2017)<\/em><\/li>
  29. J. Demongeot,\u00a0A. Laksaci, A. Naceri\u00a0 and M. Rachdi\u00a0\u00a0\u00a0\u00a0Local linear regression modelization when all variables are curves<\/a>\u00a0Statistics & Probability Letters,\u00a0<\/em>121<\/strong>, 37-44, (2017).<\/li>
  30. L. Z. Kara , A. Laksaci, M. Rachdi and Ph.\u00a0Vieu Uniform in bandwidth consistency results for various kernel estimators involving functional data,\u00a0J<\/em>\u00a0. Nonparametr. Stat.<\/em>\u00a029<\/strong>, Issue: 1,\u00a0 85-107, (2017).<\/li>
  31. F.\u00a0Benziadi A. Laksaci, and F. Tebboune\u00a0\u00a0Recursive kernel estimate of the conditional quantile for functional ergodic data<\/a>, Comm.\u00a0 Statist. Theory and Methods,\u00a045<\/strong>, 3097–3113,(2016).<\/li>
  32. F.<\/em>Benziadi,\u00a0 A. Laksaci and F. Tebboune,<\/strong>\u00a0Note on conditional quantiles for functional ergodic data<\/a>\u00a0.\u00a0C. R. Math. Acad. Sci. Paris<\/em>\u00a0354<\/strong>, 628–633, (2016).<\/li>
  33. J. Demongeot,\u00a0 A. Hamie, A. Laksaci, M. Rachdi.\u00a0Relative-error prediction in nonparametric functional statistics: Theory and practice<\/a>\u00a0.J. Multivariate Anal.<\/em>\u00a0146,\u00a0<\/strong>261–268, (2016).<\/li>
  34. J. Demongeot,\u00a0A. Laksaci, A. Naceri\u00a0 and M. Rachdi\u00a0\u00a0\u00a0\u00a0Estimation locale lin\u00e9aire de la fonction de r\u00e9gression pour des variables hilbertiennes<\/a>\u00a0C. R. Math. Acad. Sci. Paris\u00a0<\/em>354<\/strong>,\u00a0 847-850, (2016)
    <\/em><\/li>
  35. S. Dabo-Niang, Z. Kaid\u00a0 and A. Laksaci\u00a0Asymptotic properties of the kernel estimate of spatial conditional mode when the regressor is functional<\/a>,\u00a0AStA Advances in Statistical Analysis<\/a>,\u00a099,<\/strong>\u00a0131–160, (2015).<\/li>
  36. Rachdi, M., Laksaci, A., Demongeot, J., Abdali, A. and Madani,\u00a0Theoretical and practical aspects of the quadratic error in the local linear estimation of the conditional density for functional data<\/a>\u00a0Computational Statistics and Data Analysis,\u00a073, 53-68, (2014)<\/li>
  37. S. Semmar, S.Khardani\u00a0Nonparametric conditional density estimation for censored data based on a recursive kernel\u00a0Electronic Journal of Statistics,\u00a08, 2541-2556. (2014).<\/li>
  38. Benchikh Tawfik.\u00a0Spectral representation of a Banach-valued stationary random function on a locally compact abelian group.\u00a0 Georgian Mathematical Journal.\u00a021<\/strong>, Issue 2, 139\u2013145,\u00a0 (2014).<\/li>
  39. Demongeot, J., \u00a0\u00a0Laksaci, A., \u00a0\u00a0\u00a0Madani, F. \u00a0Rachdi, M research article\u00a0Functional data: local linear estimation of the conditional density and its application<\/a>\u00a0Statistics, 47, pp. 26-44 (2013).<\/li>
  40. Gheriballah, A. Laksaci and S. Sekkal \u00a0Nonparametric -regression for functional ergodic data<\/a>\u00a0Stat. Probab . Lett 83, 902-908, (2013).<\/li>
  41. Laksaci, S. Rahmaani and Rachdi\u00a0Spatial modelization: Local linear estimation of the conditional distribution for functional data<\/a>.Spatial Statistics,\u00a06,\u00a01-23, (2013)<\/li>
  42. Laksaci, F. Madani and\u00a0M.\u00a0Rachdi.\u00a0Kernel Conditional Density Estimation When the Regressor is Valued in a Semi-Metric Space<\/a>e ,Comm.\u00a0Statist. Theory and Methods,\u00a042,3544-3570, \u00a0(2013).<\/li>
  43. S. Dabo-Niang, Z. Kaid and A. Laksaci,\u00a0Sur la r\u00e9gression quantile pour variable explicative fonctionnelle : Cas des donn\u00e9es spatiales<\/a>\u00a0C. R. Math. Acad. Sci. Paris 349, \u00a01287-1291, (2012).<\/li>
  44. S. Dabo-Niang \u00a0and A. Laksaci \u00a0Nonparametric Quantile Regression Estimation for Functional Dependent Data<\/a>, \u00a0Comm.\u00a0Statist. Theory and Methods, \u00a041 1254-1268, (2012).<\/li>
  45. S. Dabo-Niang, Z. Kaid and A. Laksaci,\u00a0On spatial conditional mode estimation for a functional regressor<\/a>\u00a0Stat. Probab . Lett. \u00a0\u00a0\u00a082 \u00a0,1413-1421, (2012).<\/li>
  46. F. Ferraty, A. Laksaci, A. Tadj, P. Vieu.\u00a0Estimation de la fonction de r\u00e9gression pour variable explicative et r\u00e9ponse fonctionnelles d\u00e9pendantes<\/a>\u00a0C. R. Math.\u00a0Acad. Sci. Paris 350 no. 13-1430, (2012).<\/li>
  47. T. Benchikh, M. Attouch.\u00a0Asymptotic distribution of robust k-nearest neighbour estimator for functional nonparametric\u00a0 models<\/em>.\u00a0MATEMATIQKI VESNIK, Vol. 64, No. 4, 275\u2013285 (2012).<\/li>
  48. M. Attaoui, \u00a0S. \u00a0\u00a0\u00a0A. Laksaci and E. Ould-Said \u00a0A note on the conditional density estimate in the single functional index model<\/a>\u00a0Stat. Probab . Lett. \u00a081 45-53, (2011).<\/li>
  49. Ferraty, F., \u00a0Laksaci, A., Tadj, A., Vieu. P.,\u00a0Kernel regression with functional response<\/a>, Electronic Journal of Statistics, \u00a05, 159-171, (2011).<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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    Publications B :<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    1. T. Benchikh, K. Mankour<\/strong>,\u00a0Canonical development\u00a0 of second order Banach-valued random element, International Journal of Statistics and Economics,\u00a0 Volume 9, issue 1, 2018.<\/li>
    2. W.Mechab and A.<\/strong>\u00a0Laksaci,<\/strong>\u00a0Nonparametric relative regression for associated random variables<\/a>\u00a0.Metron<\/em>\u00a074,<\/strong>\u00a075–97 (2016).<\/li>
    3. F. Ardjoun,<\/strong>\u00a0A.\u00a0Hennani\u00a0 and A\u00a0.<\/strong>\u00a0Laksaci,\u00a0<\/strong>A recursive kernel estimate of the functional modal regression under ergodic dependence condition<\/a>\u00a0.\u00a0J. Stat. Theory Pract.<\/em>\u00a010<\/strong>\u00a0(2016), no. 3, 475\u2014496<\/li>
    4. F. Benziadi, A. Gheriballah and A. Laksaci,\u00a0Asymptotic normality of kernel estimator of $\\psi$-regression function for functional ergodic data\u00a0<\/a>,\u00a0New Trends in Mathematical Sciences<\/em> Volume: 4,\u00a0 268-282, (2016). 633, (2016).<\/li>
    5. S. Derrar, A.\u00a0Laksaci and\u00a0 E.\u00a0Ould Sa\u00efd,<\/strong>\u00a0On the Nonparametric Estimation of the Functional \u03c8-Regression for a Random Left-Truncation Model<\/a>.\u00a0J. Stat. Theory Pract.<\/em>\u00a09,<\/strong>\u00a0823–849. (2015).<\/li>
    6. Laksaci and B. Mechab\u00a0Conditional Hazard Estimate for Functional Random Fields<\/a>. Theory Pract, 8,192\u2014220, (2014).<\/li>
    7. J. Demongeot,\u00a0A. Laksaci, M. Rachdi and S. Rahmani\u00a0On the Local Linear Modelization of the Conditional Distribution for Functional Data<\/a>, Sankhya A 76 328\u2014355, (2014).<\/li>
    8. Bouadjemi\u00a0Asymptotic\u00a0normality of the recursive kernel estimate of conditional cumulative distribution function,\u00a0Journal of Probability\u00a0and Statistical Science,\u00a012,\u00a0117-126, (2014) ,\u00a0http:\/\/www.i-tel.com.tw\/jpss\/<\/a><\/li>
    9. S. Dabo-Niang, Z. Kaid and A. Laksaci \u00a0Spatial conditional quantile regression: Weak consistency of a kernel estimate \u00a0Revue Roumaine \u00a0de Math\u00e9matique Pures et Appliqu\u00e9es, Vol, 57,\u00a0 311-339,\u00a0\u00a0http:\/\/www.csm.ro\/reviste\/Revue_Mathematique\/pdfs\/2012\/4\/1_Dabo-Niang.pdf<\/a><\/li>
    10. Attouch M., \u00a0Chouaf, \u00a0B.\u00a0\u00a0and Laksaci \u00a0A. \u00a0\u00a0Nonparametric M-estimation for functional spatial data, communication of the Korean Statistical society, 19, \u00a0193-211, (2012).\u00a0http:\/\/www.koreascience.or.kr\/article\/ArticleFullRecord.jsp?cn=GCGHC8_2012_v19n1_193<\/a><\/li>
    11. M. Attouch, A. Gheriballah and A. Laksaci Convergence Presque compl\u00e8te d\u00b4un estimateur robuste \u00a0de la r\u00e9gression non param\u00e9trique fonctionnelle: Cas spatial, \u00a0Pub. \u00a0Inst. Stat. Univ. Paris LI, \u00a0Ann. I.S.U.P. \u00a056 3-16, (2012).\u00a0http:\/\/cat.inist.fr\/?aModele=afficheN&cpsidt=26017972<\/a>N. Hachemi and A. Laksaci, Estimation de la r\u00e9gression pour variable explicative et r\u00e9ponse fonctionnelles d\u00e9pendantes, \u00a0J. Probab. and Stat . Sci. 10, 153-160, (2012),\u00a0http:\/\/www.i-tel.com.tw\/jpss\/<\/a><\/li>
    12. Chouaf \u00a0and Laksaci A. \u00a0On the functional local linear estimate for spatial regression.\u00a0Stat. Risk Model. 29 no. 3, 189–214 31, (2012). \u00a0https:\/\/www.degruyter.com\/view\/j\/strm.2012.29.issue-3\/strm.2012.1114\/strm.2012.1114.xml<\/a><\/li>
    13. M. Attouch, A. Laksaci and E. Ould-Said\u00a0Robust regression for functional time series data.\u00a0J. Japan Statist. Soc.<\/em>\u00a042\u00a0<\/strong>(2012), no. 2, 125\u2014143\u00a0\u00a0https:\/\/www.jstage.jst.go.jp\/article\/jjss\/42\/2\/42_125\/_article<\/a><\/li>
    14. A. Laksaci, M. Lemdani \u00a0and \u00a0\u00a0\u00a0E. Ould-Said \u00a0Asymptotic results for an\u00a0L<\/em>\u00a01<\/sup>-norm kernel estimator of the conditional quantile for functional dependent data with application to climatology<\/a>, Sunkhya \u00a037-A, \u00a0124-141, (2011).<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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      Chapitres d\u2019 ouvrage de recherche :<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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      1. J. Demongeot, A.<\/strong>\u00a0Laksaci,\u00a0<\/strong>F.\u00a0Madani, and M.<\/strong>\u00a0Rachdi, Mustapha<\/strong>.\u00a0A Fast Functional Locally Modeled Conditional Density and Mode for Functional Time-Series<\/a>.\u00a0Recent advances in functional data analysis and related topics,<\/em>\u00a085–90, Contrib. Statist.,\u00a0Physica-Verlag\/Springer, Heidelberg,<\/em>\u00a02011<\/li>
      2. M.Attouch, A.<\/strong>\u00a0Gheriballah,\u00a0 and\u00a0\u00a0 A.<\/strong>\u00a0Laksaci,\u00a0<\/strong>Robust Nonparametric Estimation for Functional Spatial Regression<\/a>.\u00a0Recent advances in functional data analysis and related topics,<\/em>\u00a027–31, Contrib. Statist.,\u00a0Physica-Verlag\/Springer, Heidelberg,<\/em>\u00a02011.<\/li>
      3. Naceri, A. Laksaci\u00a0 and M.\u00a0 Rachdi Exact Quadratic Error of the Local Linear Regression Operator Estimator for Functional Covariates<\/a>,\u00a0Functional Statistics and Applications<\/a>, Selected Papers from MICPS-2013,\u00a0 79-90, Springer , 2015.<\/li>
      4. T. Benchikh, Approximation of Strictly Stationary Banach-Valued Random Sequence by Fourier Integral, Functional Statistics and Applications;\u00a0Selected Papers from MICPS-2013,\u00a0 79-90, Springer , 2015.<\/a><\/li>
      5. S. Attaoui, A. Laksaci\u00a0 and\u00a0 E. Ould-Said\u00a0 Elias Asymptotic Results for an\u00a0M<\/em>-Estimator of the Regression Function for Quasi-Associated Processes<\/a>,\u00a0Functional Statistics and Applications<\/a>, Selected Papers from MICPS-2013, 3-28, Springer, 2015.<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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        Conf\u00e9rences internationales :<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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        Conf\u00e9rences Pl\u00e9ni\u00e8res<\/b><\/p>