Nonparametric regression for functional data: automatic smoothing parameter selection M Rachdi, P Vieu Journal of statistical planning and inference 137 (9), 2784-2801, 2007 | 194 | 2007 |
Local smoothing regression with functional data K Benhenni, F Ferraty, M Rachdi, P Vieu Computational Statistics 22 (3), 353-369, 2007 | 134 | 2007 |
Data-driven kNN estimation in nonparametric functional data analysis LZ Kara, A Laksaci, M Rachdi, P Vieu Journal of Multivariate Analysis 153, 176-188, 2017 | 97 | 2017 |
Functional data: local linear estimation of the conditional density and its application J Demongeot, A Laksaci, F Madani, M Rachdi Statistics 47 (1), 26-44, 2013 | 64 | 2013 |
Theoretical and practical aspects of the quadratic error in the local linear estimation of the conditional density for functional data M Rachdi, A Laksaci, J Demongeot, A Abdali, F Madani Computational Statistics & Data Analysis 73, 53-68, 2014 | 62 | 2014 |
On the local linear modelization of the conditional distribution for functional data J Demongeot, A Laksaci, M Rachdi, S Rahmani Sankhya A 76, 328-355, 2014 | 57 | 2014 |
Relative-error prediction in nonparametric functional statistics: Theory and practice J Demongeot, A Hamie, A Laksaci, M Rachdi Journal of Multivariate Analysis 146, 261-268, 2016 | 49 | 2016 |
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, 2008 | 44 | 2008 |
Inverted covariate effects for first versus mutated second wave Covid-19: high temperature spread biased for young H Seligmann, S Iggui, M Rachdi, N Vuillerme, J Demongeot Biology 9 (8), 226, 2020 | 43 | 2020 |
Uniform in bandwidth consistency for various kernel estimators involving functional data L Kara-Zaitri, A Laksaci, M Rachdi, P Vieu Journal of Nonparametric Statistics 29 (1), 85-107, 2017 | 41 | 2017 |
Analysis of Reproduction Number R0 of COVID-19 Using Current Health Expenditure as Gross Domestic Product Percentage (CHE/GDP) across Countries K Oshinubi, M Rachdi, J Demongeot Healthcare 9 (10), 1247, 2021 | 38 | 2021 |
Local weighted average estimation of the regression operator for functional data M El Methni, M Rachdi Communications in Statistics-Theory and Methods 40 (17), 3141-3153, 2011 | 33 | 2011 |
Functional data analysis: Application to daily observation of COVID-19 prevalence in France K Oshinubi, F Ibrahim, M Rachdi, J Demongeot AIMS Mathematics 7 (4), 5347-5385, 2022 | 32 | 2022 |
Spatial modelization: local linear estimation of the conditional distribution for functional data A Laksaci, M Rachdi, S Rahmani Spatial Statistics 6, 1-23, 2013 | 32 | 2013 |
Local polynomial modelling of the conditional quantile for functional data F Messaci, N Nemouchi, I Ouassou, M Rachdi Statistical Methods & Applications 24, 597-622, 2015 | 31 | 2015 |
Wide band 60 GHz indoor channel: characterization and statistical modeling L Clavier, M Rachdi, M Fryziel, Y Delignon, V Le Thuc, C Garnier, ... IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat …, 2001 | 31 | 2001 |
Approach to COVID-19 time series data using deep learning and spectral analysis methods. K Oshinubi, A Amakor, OJ Peter, M Rachdi, J Demongeot Aims Bioengineering 9 (1), 2022 | 30 | 2022 |
Estimation of daily reproduction numbers during the COVID-19 outbreak J Demongeot, K Oshinubi, M Rachdi, H Seligmann, F Thuderoz, J Waku Computation 9 (10), 109, 2021 | 30 | 2021 |
Kernel regression estimation for spatial functional random variables S Dabo-Niang, M Rachdi, AF Yao | 29 | 2010 |
FDA: strong consistency of the kNN local linear estimation of the functional conditional density and mode Z Chikr-Elmezouar, IM Almanjahie, A Laksaci, M Rachdi Journal of Nonparametric Statistics 31 (1), 175-195, 2019 | 28 | 2019 |