1. AmiriA.(2009).Surunefamilleparamétriqued’estimateursséquentielsdeladensitépourunprocessus fortement mélangeant, C. R. Acad. Sci. Paris, Ser. I 347, 309–314.

2. Amiri, A. (2010). Rates of almost sure convergence of families of recursive kernel estimators, Annales Inst. Stat. Univ. Paris. LIV, 3, 3–24.

3. Amiri, A. (2012). Recursive regression estimators with application to nonparametric prediction, J. Nonparam. Statist., 24, 169–186.

4. Amiri, A. (2013). Asymptotic normality of recursive estimators under strong mixing conditions, Stat. Inference Stoch. Process, 16 (2), 81–96.

5. Amiri, A., Crambes, C., Thiam, B. (2014). Recursive estimation of nonparametric regression with functional covariate. Comp. Stat. and Data Anal., 69, 154–172.

6. Amiri, A., Thiam, B. (2014). Consistency of the recursive nonparametric regression estimation for dependent functional data. J. Nonparam. Statist., 26 (13), 471–487.

7. Amiri, A., Thiam, B. (2014). A smoothing stochastic algorithm for quantile estimation. Statistics and Probability Letters, 93, 116-125.

8. Amiri, A., Dabo-Niang, S., Mohamed, Y. (2016). Nonparametric recursive density estimation for spatial data. C. R. Acad. Sci. Paris, Ser. I 354, 205–210.

9. Amiri, A., Thiam, B. Verdebout, T. (2017). On the estimation of the density of a directional data stream.Scandinavian Journal of Statistics, 44, 249–267.

10. Amiri, A., Thiam, B. (2018). Regression estimation by local polynomial fitting for multivariate data stream. Stat Papers, 59 (2), 813–843.

11. Amiri, A., Dabo-Niang, S. (2018). Density estimation over spatio-temporal data stream. Econometrics and Statistics, 5, 148–170.

12. Amiri, A., Khardani, S. (2018). Nonparametric regression estimation using recursive kernel for de- pendent censored data. International Journal of Mathematics and Statistics, 19 (2), 59-82.

13. Aboubacar A., Hammadou H., Kilani M. (2019). Distribution des emplois et identification des sous- centres d’affaires dans l’agglomération lilloise. Revue d’Économie Régionale & Urbaine, 5, 913–936.

14. Aboubacar, A., Chaouch, M. (2020). Real-time estimation for functional stochastic regression models. Journal of Statistical Computation and Simulation, DOI : 10.1080/00949655.2020.1746786.

15. Aboubacar, A., El Machkouri M. Recursive kernel density estimation for time series. En révision.

16. Aboubacar, A., Thiam, B. Nonparametric regression for locally stationary functional data. Soumis.

17. Aboubacar, A., Kokonendji, C. Asymptotic results for multivariate associated kernel estimators of the probability density mass function of a data stream. Soumis.