Publications

 Some books and recent publications (since 2010) in peer-reviewed journals

BOOKS:

• M. Rachdi (Guest Editor, 2023).
  Functional Data Analysis: Theory and Applications to Different Scenarios
  Mathematics, an Open Access Journal by MDPI
  https://www.mdpi.com/journal/mathematics/special_issues/45POZ9BG9S

• E. Ould-Said, I. Ouassou and M. Rachdi (Editors, 2013).
  Functional Statistics and Applications
  Contributions to Statistics, Springer. 

SUBMITTED MANUSCRIPTS:

• M. Alahiane, ..., I. Ouassou and M. Rachdi (2023).
  On the Functional Projection Pursuit Regression for Generalized Partially Linear Single Index Model.
  Submitted manuscript.

• M. Alahiane, ..., I. Ouassou and M. Rachdi (2023).
  FPPR-Generalized Partially Linear Single Index Model.
  Submitted manuscript. 

REVISED MANUSCRIPTS:

• M.Boumahdi, A. Laksaci, I. Ouassou and M. Rachdi (2023).
  Conditional cumulative distribution function for surrogate scalar response.
  Metrika, Vol. , N. , pp. -. Doi: https://doi.org/

PUBLISHED & ACCEPTED PAPERS:

• A. Azzi, A. Belguerna, A. laksaci and M. Rachdi (2024).
  The scalar-on-function modal regression for functional time series data.
  Journal of Nonparametric Statistics, Vol. 36, N. 2, pp. 503-526. Doi: https://doi.org/10.1080/10485252.2023.2233642

• M. Rachdi, M. Alahiane, I. Ouassou, A. Alahiane, L. Hobbad (2024).
  Cross-Validated functional Generalized Partially Linear single-Functional Index Model.
  Mathematics, Vol. , N. , pp. . Doi: https://doi.org/

• O. Litmein, A. Laksaci, L. Ait-Hennani, B. Mechab and  M. Rachdi (2024).
  Asymptotic normality of the local linear estimator of the functional expectile regression.
  Journal of Multivariate Analysis, Vol. 202, N. ID 105281, 17 p. Doi: https://doi.org/10.1016/j.jmva.2023.105281

• M. Boumahdi, I. Ouassou and  M. Rachdi (2023).
  Estimation in nonparametric functional-on-functional models with surrogate responses.
  Journal of Multivariate Analysis, Vol.198,  N. 105231, 20 p. Doi:https://doi.org/10.1016/j.jmva.2023.105231

• A. Laksaci, Z. Kaid, M. Alahiane, I. Ouassou, M. Rachdi (2023).
  Nonparametric estimations of the conditional density and mode when the regressor and the response are curves.
  Comm. Statist. Theory Meth., Vol. 52, N. 13, pp. 4659-4674. Doi: 10.1080/03610926.2021.1998831

• M. Boumahdi, I. Ouassou and  M. Rachdi (2023).
  Generalized regression function for surrogate scalar response.
  Mathematical Modeling and Computing, Vol. 10, N. 3, pp. 625-637. Doi: https://doi.org/10.23939/mmc2023.03.625

• Z.C. El Mezouar, F. Aishahrani, I.M. Almanjahie, Z. Kaid, A. Laksaci and  M. Rachdi (2023).
  A scalar-on-function relative error regression for weak dependent case
  Axioms, Vol. 12, N. 7, pp. 613. Doi: https://doi.org/10.3390/axioms12070613

• M. Boumahdi, I. Ouassou and  M. Rachdi (2023).
  Conditional density function for surrogate scalar response.
  Statistics in Transition New Series, Vol. 24, N. 3, pp. 117-138. Doi: https://doi.org/10.59170/stattrans-2023-039

• L. Ait-Hennani, Z. Kaid, A. Laksaci and M. Rachdi (2022).
  Nonparametric estimation of the expected shortfall regression for quasi-associated functional data.
  Mathematics, Vol. 10, N. 23, pp. 4508. Doi: https://doi.org/10.3390/math10234508

• M. Jellassi, K. Oshinubi, M. Rachdi and J. Demongeot (2022).
  Epidemic dynamics on social networks.
  AIMS Bioengineering, Vol. 9, N. 4, pp. 348-361. Doi: 10.3934/bioeng.2022025

• F. Alshahrani, I. M. Almanjahie, Z. C. Elmezouar, Z. Kaid, A. Laksaci and  M. Rachdi (2022).
  Functional ergodic time series analysis using expectile regression.
  Mathematics, Vol. 10, N. 20, pp. 3919. Doi: https://doi.org/10.3390/math10203919

• M. Alahiane, I. Ouassou, M. Rachdi and P. Vieu (2022).
  High dimensional statistics: Non-parametric generalized functional partially linear single-index model.
  Mathematics, Vol. 10, N. 15, pp. 2704. Doi: https://doi.org/10.3390/math10152704

• F. Mokhtari, R. Rouane, S. Rahmani and  M. Rachdi  (2022).
  Consistency results of the M-regression function estimate for continuous time stationary and ergodic data
  STAT, Vol. 11, N. 1, pp. e484. Doi: 10.1002/STA4.484

• O. Bouanani, M. Rachdi and S. Rahmani (2022).
  High dimensional statistics: Quadratic error in the local linear estimation of the relative regression
  Bulletin of the Institute of Mathematics Academia Sinica, Vol. 17, Issue 2, pp. 335-348, Doi: https://doi.org/10.21915/BIMAS.202220610.21915/BIMAS.2022206

• O. Oshinubi, S. Buhamra, N.M. Al-Kandari, J. Waku, M. Rachdi and J. Demongeot (2022).
  Age dependent epidemic modelling of COVID-19 outbreak in Kuwait, France and Caeroon
  Healthcare, Vol. 10, Issue 3, pp. 482. Doi: https://doi.org/10.3390/healthcare10030482

• M. Rachdi, A. Laksaci, N. M. Al-Kandari (2022).
  Expectile regression for spatial functional data (sFDA).
  Metrika, Vol. 85, pp 627-655 . Doi: 10.1007/s00184-021-00846-x

• K. Oshinubi, M. Rachdi and J. Demongeot (2022)
  Modelling of Covid-19 pandemic vis-a-vis some socio-economic factors
  Front. Appl. Math. Stat., Vol. 7, pp 786983. Doi:10.3389/fams.2021.78698

• M. Abujazar, S. Al-Awadhi, H. Bensmail and M. Rachdi (2022).
  Effect of temperature on the spread of COVID-19 in Qatar, Kuwait and other Gulf countries
  Kuwaitian Journal of Science. Doi:10.48https://doi.org/10.48129/KJS.SPLCOV.19499

• I. Almanjahie, Z. Kaid, A. Laksaci and M. Rachdi (2022).
  Estimating the conditional density in scalar-on-function regression structure: k-N-N local linear approach
  Mathematics, Vol. 10, Issue 6, pp. 902. Doi: https://doi.org/10.3390/math10060902

• K. Oshinubi, F. Ibrahim, M. Rachdi and J. Demongeot (2022).
  Functional Data Analysis: Application to daily observation of COVID-10 prevalence in France
  AIMS Mathematics, Vol. 7, Issue 4, pp: 5347-5385. Doi: 10.3934/math.2022298

• K. Oshinubi, A. Amakor, O. Peter, M. Rachdi and J. Demongeot (2022)
  Aproach to COVID-19 time series data using deep learning and spectral analysis methods
  AIMS Bioengineering (available on medRxiv), Vol. 9, Issue 1, pp 1-21. Doi:10.3934/bioeng.2022002

• K. Oshinubi, F. Al-Awadhi, M. Rachdi and J. Demongeot (2021)
  Data analysis and forecasting of COVID-19 pandemis in Kuwait
  Kuwaitian Journal of Science (available on medRxiv). Doi: https://doi.org/10.48129/KJS.SPLCOV.14501

• J. Demongeot, K. Oshinubi, M. Rachdi, H. Seligman, F. Thuderoz and Jules Waku (2021).
  Estimation of daily reproduction numbers in Covid-19 outbreak.
  Computation, Vol. 9, Issue 109. Doi:https://doi.org/10.3390/computation9100109

• J. Demongeot, K. Oshinubi, M. Rachdi, L. Hobbad, M. Alahiane, S. Iggui, J. Gaudart, I. Ouassou (2021).
  The application of ARIMA model to analyze Covid-19 incidence pattern in several countries
  Journal of Mathematics and Computer Sciences (JMCS), Vol.12, Issue 10, pp 1-23 - Doi: https://doi.org/10.28919/jmcs/6541
  

• M. Alahiane, I. Ouassou, M. Rachdi and P. Vieu (2021)
  Generalized partially linear single-index models for functional data (GFPLSIM)
  Stats/MDPI, Vol. 4, Issue 4, pp  793-813.

• K. Oshinubi, M. Rachdi and J. Demongeot (2021)
  Analysis of daily reproduction rates of COVID-19 using current health expenditure as gross domestic product percentage (CHE/GDP) across countries
  Healthcare, Vol. 9, Issue 1247. Doi: https://doi.org/10.3390/healthcare9101247

• A.M. Almanjahie, Z. Kaid,  A. Laksaci and M. Rachdi (2021).
  Predicting the temperature curve based on the fast kNN local linear estimation of the conditional distribution function
  PeerJ, Vol. 9:e11719 https://doi.org/10.7717/peerj.11719

• N. Sallahi, H. Park, F. El Mellouhi, M. Rachdi, I. Ouassou, S. Belhaouari, A. Arredouani and H. Bensmail (2021).
  Using unstated cases to correct for COVID-19 pandemic outbreak and its impact on easing the intervention for Qatar.
  Biology, Vol. 10, Issue 6,  pp 463. https://doi.org/10.3390/biology10060463 - 24 May 2021

• A.M. Almanjahie, W.M. Alahmari, A. Laksaci, M. Rachdi (2021).
  Computational aspects of the kNN local linear smoothing for some conditional models in high dimensional statistics.
  Comm. Statist. Simul. Comput. Vol. , Issue , Pages -. doi: 10.1080/03610918.2021.1923745
  

• M. Rachdi,  A. Laksaci, A. Hamié, J. Demongeot and I. Ouassou (2021).
  Curves classification by using a local likelihood function and its practical usefulness for real data.
  Frontiers in Artificial Intelligence and Applications, Vol. 331, Pages 113-124. doi: 10.3233/FAIA299691

• A.M. Almanjahie, Z.C. Elmezouar, A. Laksaci and M. Rachdi (2021).
  Smooth kNN local estimation of the conditional distribution function
  Mathematics, Vol. 9,  Issue 10, pp 1102. doi:10.3390/math9101102

• A. Laksaci, E. Ould-Said, M. Rachdi (2021).
  Uniform consistency in number of neighbors of the kNN estimator of the conditional quantile model
  Metrika, Vol. 84,  pp 895-911. doi: https://doi.org/10.1007/s00184-021-00806-5

• M. Rachdi, A. Laksaci, F. Al-Awhadi (2021).
  Parametric and nonparametric conditional quantile regression modelisation for dependent spatial functional data
  Spat. Statist., Vol. 43,  pp 100498. doi: 10.1016/j.spasta.2021.100498

• M. Rachdi, A. Laksaci, Z. Kaid, A. Benchiha and F. Al-Awadhi (2021).
  kNN local linear regression for functional and missing data at random.
  Statistica Neerlandica, Vol. 75, Issue 1, pp 42-65. https://doi.org/10.1111/stan.12224

• M. Rachdi, H. Bensmail, N.-M. Al-Kandari, I. Ouassou (2021).
  Heteroscedasticity Testing in Nonparametric Functional Data Statistics.
  International Journal of Applied Mathematics and Statistics, Vol. 22, Issue 1, pp 95-114.

• H. Seligmann, S. Iggui, M. Rachdi, N. Vuillerme, J. Demongeot (2020).
  Inverted covariate effects for first versus mutated 2nd wave Covid-19: high temperature spread biased for young
  Biology, Vol. 9, Issue 8, pp 226 -. doi: 10.3390/biology9080226

• M. Rachdi, M. Alahiane, I. Ouassou and P. Vieu (2020).
  Generalized functional partially linear single-index models.
  In book: Functional and High-Dimensional Statistics and Related Fields, pp 221-228. DOI: 10.1007/978-3-030-47756-1_29

• M. Rachdi, J. Waku, H. Hazgui and J. Demongeot (2020).
  Entropy as a Robustness Marker in Genetic Regulatory Networks.
  Entropy, Vol. 22, Issue 3, Pages 260. DOI: 10.3390/e22030260, License CC BY

• M. Rachdi, A. Laksaci, A.M. Almanjahie and Z.C. Elmezouar (2020).
  FDA: Theoretical and practical efficiency of the local linear estimation based on the kNN smoothing of the conditional distribution when there are missing data.
  Journal of Statistical Computation and Simulation, Vol. 90, Issue 8, Pages 1479-1495. DOI: 10.1080/00949655.2020.1732378

• F. Ibrahim, A.H. Hassan, J. Demongeot, M. Rachdi (2020).
  Regression model for surrogate data in high dimensional statistics.
  Comm. Statist. Theory Methods, Vol. 49, Issue 13, Pages 3206-3227.  DOI:https://doi.org/10.1080/03610926.2019.158694

•  O. Bouanani, S. Rahmani, A. Laksaci, M. Rachdi (2020).
  Asymptotic normality of conditional mode estimator for functional dependent data
  

  Indian Journal of Pure and Applied Mathematics, Vol. 51, Pages 465-481.

• A.M. Almanjahie, Z.C. Elmezouar, A. Laksaci, M. Rachdi (2019).
  FDA: strong consistency of the kNN local linear estimation of the functional conditional density and mode.
  Journal of Nonparametric Statistics. Vol. 31, Issue 1, Pages 175-195. DOI: 10.1080/10485252.2018.1538450

• F. Awadhi, Z. Kaid, A. Laksaci, I. Ouassou, M. Rachdi (2019).
  Functional data analysis: local linear estimation of the  L₁-conditional quantiles. 
  Statistical Methods & Applications,  Vol. 28, Issue 2, Pages 217-240. DOI: 10.1007/s10260-018-00447-5

• B. Altendji, J. Demongeot, A. Laksaci, M. Rachdi (2018).
  Functional Data Analysis: Estimation of the relative error in functional regression under random left-truncation.
  Journal of Nonparametric Statistics, Vol. 30, Issue 2, Pages 472-490.  https://doi.org/10.1080/10485252.2018.1438609

• A.M. Almanjahie, Z.C. Elmezouar, A. Laksaci, M. Rachdi (2018).
  kNN local linear estimation of the conditional cumulative function: Dependent functional data case
  C. R. Acad. Sci. Paris, Mathématiques, Sér. I, Vol. 356, Issue 10, Pages 1036-1039.  DOI: 10.1016/j.crma.2018.09.001

• M. Singull, M. Rachdi and G.S. Lo (2018).
  Editorial Paper of the Special Issue 13(1) of Afrika Statistika on Selected papers presented to EACSAM 2017.
  Afr. Stat., Vol. 13, Issue 1, Pages 1495-1497. DOI: 10.16929/as/1465.115 

• O. Bouanane, A. Laksaci, M. Rachdi and S. Rahmani (2018).
  Asymptotic normality of some conditional nonparametric functional parameters in high-dimensional statistics.
  Behaviormetrika, Vol. 46, Issue 1, Pages 199-233. DOI: 10.1007/s41237-018-0057-9
  

• A. Henien, L. Ait-Hennani, A. Laksaci, J. Demongeot, M. Rachdi (2018).
  Test d'hétéroscédasticité quand les covariables sont fonctionnelles
  C. R. Acad. Sci. Paris, Mathématiques, Sér. I, Vol. 356, Pages 571-574. https://doi.org/10.1016/j.crma.2018.02.010 

• L. Kara-Zaitri, A. Laksaci, M. Rachdi and P. Vieu (2017).
  Uniform in bandwidth consistency results for various kernel estimators involving functional data
  Journal of Nonparametric Statistics, Vol. 29, Issue 1, Pages 85-107.

• K. Benhenni, S. Hedli-Griche and and M. Rachdi (2017).
  Regression models with correlated errors based on functional random design
  TEST, Vol. 26, Issue 1, Pages 1-21.

• L. Kara-Zaitri, A. Laksaci, M. Rachdi and P. Vieu (2017).
  Uniform in the smoothing parameter consistency results in functional regression.
  In Functional Statistics and Related Fields, Edited by G. Aneiros, E. Bongiorno, R. Cao and P. Vieu

• J. Demongeot, A. Laksaci, A. Naceri and M. Rachdi (2017).
  Local linear regression modelization when all variables are curves
  Statistics & Probability Letters, Vol. 121, Pages 37-44.

• L. Kara-Zaitri, A. Laksaci, M. Rachdi and P. Vieu (2017).
  Data-driven kNN estimation for various problems involving functional data.
  Journal of Multivariate Analysis, Vol. 153, Pages 176-188.

• J. Demongeot, A. Laksaci, A. Naceri and M. Rachdi (2016).
  Estimation locale linéaire de la fonction de régression pour des variables hilbertiennes
  C. R. Mathématiques, Vol. 354, Issue 8, Pages 847-850.

• J. Demongeot, A. Hamié, O. Hansen and M. Rachdi (2015).
  Dynalets: A new tool for biological signal processing
  Functional Statistics and Applications, Part of the series Contributions to Statistics edited by Elias Ould-Said, Idir Ouassou and Mustapha Rachdi , 01/2015: Chapter pages 141-150; Springer International Publishing. ISBN:978-3-319-22476-3. 

• J. Demongeot, G.G. Carminati, F. Carminati  and M. Rachdi (2015).
  Stochastic monotony signature and biomedical applications
  C.R. Biologie, Vol. 338, Issue 12, Pages 777-783.

• F. Messaci, N. Nemouchi, I. Ouassou and M. Rachdi (2015).
  Local polynomial modelling of the conditional quantile for functional data
  Statistical Methods & Applications, Vol. 29, Issue 1, Pages 597-622.

• J. Demongeot, A. Hamié, A. Laksaci and M. Rachdi (2015).
  Relative-error prediction in nonparametric functional statistics: theory and practice
  Journal of Multivariate Analysis, Vol. 146, Pages 261-268.

• J. Demongeot, A. Laksaci,  M. Rachdi and S. Rahmani (2014).
  On the local linear modelization of the conditional distribution for functional data 
  Sankhyä A: The indian journal of statistics, Vol. 76, Issue 2, Pages 328-355.

• M. Rachdi, A. Laksaci, J. Demongeot, A. Abdali and F. Madani (2014).
  Theoretical and practical aspects on the quadratique error in the local linear estimation of the conditional density for functional 
  Computational Statistics & Data Analysis, Vol. 73, Issue 2, Pages 53-68.

• I. Ouassou and M. Rachdi (2013).
  Quadratic loss estimation of a location parameter when a subset of its components is unknown
  Afr. Stat., Vol. 8, Pages 575-586.

• A. Laksaci, M. Rachdi and S. Rahmani  (2013).
  Spatial modelization: local linear estimation of the conditional distribution for functional data 
  Spatial Statistics, Vol. 6, Pages 1-23.

• J. Demongeot, M. Ghassani, I. Ouassou, C. Taramasco and M. Rachdi (2013).
  Archimedean copula and contagion modelling in epidemiology
  Networks and Heterogeneous Media, American Institute of Mathematical Science (AIMS), Vol. 08, Issue 01, Pages 149-170.

• J. Demongeot, O. Hansen, A.S. Jannot, J. Mintsa, I. Ouassou, C. Taramasco and M. Rachdi (2013).
  Random modelling of contagious diseases
  Acta Biotheoretica, Vol. 61, Issue 01, Pages 141-172.

• J. Demongeot, A. Laksaci, F. Madani and M. Rachdi (2013).
  Functional data: local linear estimation of the conditional density and its application
  Statistics, Vol. 47, Issue 01, Pages 26-44.

• K. Benhenni, M. Rachdi and Y. Su (2013). 
  The effect of the regularity of the error process on the performance of kernel regression estimators.
  Metrika, 2012, vol. 76, issue 6, Pages 765-781.
• A. Laksaci, F. Madani and M. Rachdi (2013). 
  Kernel conditional density estimation when the regressor is valued in a semi-metric space.
  Communications in Statistics-Theory and Methods, 2013, Volume 42, Issue 19, Pages 3544-3570.
• I. Ouassou and M. Rachdi (2012). 
  Regression operator estimation by delta-sequences method for functional data and its applications.
  AStA Advances in Statistical Analysis, 2012, vol. 96, Pages 451-465. DOI: 10.1007/s10182-011-0175-0
• J. Demongeot, J. Gaudart, J. Mintsa and M. Rachdi (2012).
  Demography in epidemics modelling.
  Communications on Pure and Applied Analysis, Volume 11, Issue 01, 2012, Pages 61-82.
• J. Demongeot, J. Gaudart, A. Lontos, J. Mintsa, E. Promayon and M. Rachdi (2011). 
  Zero-diffusion domains in reaction-diffusion morphogenetic & epidemiologic processes. 
  International Journal of Bifurcation and Chaos, 2012, Volume 22, Issue 2, Pages 1250028_1-23. DOI: 10.1142/S0218127412500289.
• S. Dabo-Niang, M. Rachdi and A.-F. Yao (2011). 
  Kernel regression estimation for spatial functional random variables.
  Far East Journal of Theoretical Statistics, Volume 37, Issue 02, Pages 77-113.
• I. Ouassou et M. Rachdi (2011). 
  Quadratic loss estimation of a location parameter when a subset of its components is nonegative.
  C. R. Acad. Sci. Paris, Sér. I, Volume 349, Issues 17-18, September 2011, Pages 995-998.
• J. Demongeot, A. Laksaci, F. Madani and M. Rachdi (2011).
  A fast functional locally modeled conditional density and mode for functional time-series.
  Recent Advances in Functional Data Analysis and Related Topics, Contributions to Statistics, 2011, 
  Pages 85-90, DOI: 10.1007/978-3-7908-2736-1_13, Physica-Verlag/Springer.
• J. Demongeot, J. Mintsa and M. Rachdi (2011).
  Stochastic approach in modelling epidemic spread.
  IEEE Advanced Information Networking and Application, Pages 478-482, 2011, DOI: 10.1109/WAINA.2011.153.
• M. El Methni and M. Rachdi (2011).
  Local weighted average estimation of the regression operator for functional data.
  Communications in Statistics - Theory and Methods, Volume 40, Issue 17, Pages 3141-3153.
• J. Demongeot, A. Laksaci, F. Madani and M. Rachdi (2010).
  Estimation locale linéaire de la densité conditionnelle pour des données fonctionnelles. 
  C. R. Acad. Sci. Paris, Sér. I, 348, No. 15-16, Pages 931-934.
• J. Gaudart, M. Ghassani, J. Mintsa, M. Rachdi, J. Waku and J. Demongeot (2010).
  Demography and Diffusion in epidemics: Malaria and Black Death spread.
  Acta Biotheoretica, Volume 58, No. 2-3, Pages 277-305.
• J. Gaudart, M. Ghassani, J. Mintsa, M. Rachdi, J. Waku, O.K. Doumbo and J. Demongeot (2010).
  Demographic and spatial factors as causes of an epidemic spread, the copula approach. Application to the retro-prediction of the Black Death epidemy of 1346. 
  IEEE Advanced Information Networking and Application, DOI 10.1109/WAINA.2010.79, Pages 751-758.
• K. Benhenni, S. Hedli-Griche and M. Rachdi (2010).
  Estimation of the regression operator from functional fixed-design with correlated errors.
  Journal of Multivariate Analysis, Volume 101, No. 02, Pages 476--490.
• I. Ouassou and M. Rachdi (2010).
  Stein type estimation of the regression operator for functional data.
  Advances and Applications in Statistical Sciences, Volume 01, No. 2, Pages 233-250.

THE FOLLOWING PART IS UNDER CONSTRUCTION:

• Demography and diffusion in epidemics: malaria and black death spread J Gaudart, M Ghassani, J Mintsa, M Rachdi, J Waku, J Demongeot Acta Biotheoretica 58, 277-305	47	2010
  Local linear estimation of the conditional density for functional data J Demongeot, A Laksaci, F Madani, M Rachdi Comptes Rendus Mathématique 348 (15-16), 931-934	20	2010
  Estimation locale linéaire de la densité conditionnelle pour des données fonctionnelles J Demongeot, A Laksaci, F Madani, M Rachdi Comptes Rendus Mathématique 348 (15-16), 931-934	11	2010
  Demographic and spatial factors as causes of an epidemic spread, the copule approach: application to the retro-prediction of the black death epidemy of 1346 J Gaudart, M Ghassani, J Mintsa, J Waku, M Rachdi, OK Doumbo, ... 2010 IEEE 24th International conference on advanced information networking …	21	2010
  Estimation of the regression operator from functional fixed-design with correlated errors K Benhenni, S Hedli-Griche, M Rachdi Journal of multivariate analysis 101 (2), 476-490	25	2010
  Stein type estimation of the regression operator for functional data I Ouassou, M Rachdi Adv. Appl. Stat. Sci 1 (2), 233-250	15	2010
  Mixed-spectra analysis for stationary random fields M Rachdi, R Sabre Statistical Methods and Applications 18 (3), 333-358	6	2009
  Consistency of the regression estimator with functional data under long memory conditions K Benhenni, S Hedli-Griche, M Rachdi, P Vieu Statistics & probability letters 78 (8), 1043-1049.   41 2008 On the statistical properties of a stationary process sampled by a stationary point process F Charlot, M Rachdi Statistics & probability letters 78 (4), 456-462 7 2008 Local smoothing regression with functional data K Benhenni, F Ferraty, M Rachdi, P Vieu Computational Statistics 22 (3), 353-369 121 2007 Nonparametric regression for functional data: automatic smoothing parameter selection M Rachdi, P Vieu Journal of statistical planning and inference 137 (9), 2784-2801 169 2007 Nonparametric estimation of average growth curve with general nonstationary error process K Benhenni, M Rachdi Communications in Statistics—Theory and Methods 36 (6), 1173-1186 10 2007 Bispectrum estimation for a continuous-time stationary process from a random sampling K Benhenni, M Rachdi Recent Advances In Stochastic Modeling And Data Analysis, 442-453 3 2007 Contributions à la statistique des processus et à l'estimation fonctionnelle M Rachdi Habilitation to direct researches. Université Pierre Mendès-France-Grenoble   2006 Nonparametric estimation of the regression function from quantized observations K Benhenni, M Rachdi Computational statistics & data analysis 50 (11), 3067-3085 5 2006             Non-parametric estimation of the average growth curve with a general non-stationary error process K Benhenni, M Rachdi Comptes rendus. Mathématique 343 (8), 541-544 4 2006 Automatic smoothing parameter selection for the nonparametric regression estimation of functional data. M Rachdi, P Vieu Comptes rendus. Mathématique 341 (6), 365-368   2005 Non-parametric estimation of the average growth curve from quantized observations and correlated errors K Benhenni, M Rachdi Comptes rendus. Mathématique 340 (12), 901-904 7 2005     Strong consistency with rates of spectral estimation of continuous-time processes: from periodic and Poisson sampling schemes M Rachdi Journal of Nonparametric Statistics 16 (3-4), 349-364 7 2004 Spectral density estimation from random sampling for multiplicative stationary processes V Girardin, M Rachdi Computers & Mathematics with Applications 46 (7), 1009-1021 7 2003 On the almost complete and uniform convergence of spectral density estimation for a continuous-parameter process from time sampling M Rachdi Comptes rendus. Mathématique 337 (7), 487-492 1 2003       Spectral representation for processes on a regular semigroup via extension to a group V Girardin, M Rachdi, R Senoussi Revue Roumaine de Mathematiques Pures et Appliquees 48 (1), 55-60 3 2003 On The Mixing Properties Of A Stationary Process Sampled By A Stationary Point Process M Rachdi, F Charlot     2001 Consistent estimates of the mode of the probability density function in nonparametric deconvolution problems M Rachdi, R Sabre Statistics & probability letters 47 (2), 105-114 22 2000 Asymptotic optimal spectral bandwidth choice for a discrete stationary process M Rachdi, E Youndjé Technical Report 2 2000 Asymptotic properties of p-adic spectral estimates of second order M Rachdi, V Monsan J. of combinatoirics Information and System Sciences 24, 113-142 10 1999 Cross validated choice of the spectral bandwidth for a continuous stationary process 3 1998 M Rachdi Comptes Rendus de l'Académie des Sciences-Series I-Mathematics 327 (8), 777-780   6 1998 Optimal choice of the spectral bandwidth for a discrete mixing stationary process M Rachdi Academie des Sciences Paris Comptes Rendus Serie Sciences Mathematiques 327 …   1 1998   3 1998 Choix de la largeur de fenêtre spectrale par validation croisée. Analyse spectrale p-adique. Univ de Rouen M Rachdi Thèse de doctorat. Université de Rouen, France.   5 1998 Spectral density estimation for-adic stationary processes M Rachdi, V Monsan Annales mathématiques Blaise Pascal 5 (1), 25-41   2 1998 Estimation de la densité de la mesure spectrale mixte pour un processus p-adique stationnaire M Rachdi Annales de l'ISUP 42 (2-3), 75-91   3 1998 The optimal choice of the spectral bandwidth for a random field M Rachdi, R Sabre Trait Signal 15 (6), 569-575 3 1998   3 1998 Choix de la largeur de fenêtre spectrale par validation croisée. Analyse spectrale p-adique M Rachdi Rouen   8 1998 An Extension of Functional Projection Pursuit Regression to the Generalized Partially Linear Single Index Models (EFPPR-GPLSIM) M Alahiane, I Ouassou, M Rachdi, P Vieu 10th (Online) International Conference on Applied Analysis and Mathematical …                       Le choix optimal de la largeur de fenêtre spectrale pour un champ aléatoire-The optimal choice of the spectral bandwidth for a random field Le choix optimal de la largeur de … M Rachdi, R Sabre       Estimation de la courbe de croissance moyennea partir d’observations quantifiées, répetées et corrélées K Benhenni, M Rachdi       Sur la convergence forte dans l’estimation de la densité spectrale pour les processus stationnairesa temps continu apres échantillonnage du temps. M RACHDI Actes des Deuxiemes Journées en Statistique Fonctionnelle et Opératorielle …           PUBLICATION de l'UMR 6085 LABORATOIRE DE MATH EMATIQUES RAPHA EL SALEM M RACHDI, R SABRE       PUBLICATION de l'UPRESA 6085 M RACHDI, E YOUNDJE