Amir Aboubacar

maître de conférences
CNU : SECTION 26 - MATHEMATIQUES APPLIQUEES ET APPLICATIONS DES MATHEMATIQUES
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Bureau F1.37, Domaine Universitaire du Pont de Bois, 3 Rue du Barreau, 59650 Villeneuve-d'Ascq

Amir Aboubacar

maître de conférences

Publications


1. Amiri, A.(2009). Sur une famille paramétrique d’estimateurs séquentiels de la densité pour un processus 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.