Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Amiri, Aboubacar"'
Autor:
Amiri, Aboubacar
Nous nous intéressons dans cette thèse aux méthodes d’estimation non paramétriques par noyaux récursifs ainsi qu’à leurs applications à la prévision. Nous introduisons dans un premier chapitre une famille d’estimateurs récursifs de la
Externí odkaz:
http://www.theses.fr/2010AVIG0407/document
Autor:
Amiri, Aboubacar, Thiam, Baba
We consider the recursive estimation of a regression functional where the explanatory variables take values in some functional space. We prove the almost sure convergence of such estimates for dependent functional data. Also we derive the mean quadra
Externí odkaz:
http://arxiv.org/abs/1304.5217
Autor:
Amiri, Aboubacar
The main purpose of this paper is to estimate the regression function by using a recursive nonparametric kernel approach. We derive the asymptotic normality for a general class of recursive kernel estimate of the regression function, under strong mix
Externí odkaz:
http://arxiv.org/abs/1211.5767
The main purpose is to estimate the regression function of a real random variable with functional explanatory variable by using a recursive nonparametric kernel approach. The mean square error and the almost sure convergence of a family of recursive
Externí odkaz:
http://arxiv.org/abs/1211.2780
Autor:
Amiri, Aboubacar, Dabo-Niang, Sophie
Publikováno v:
In Econometrics and Statistics January 2018 5:148-170
Publikováno v:
Scandinavian Journal of Statistics, 2017 Mar 01. 44(1), 249-267.
Externí odkaz:
https://www.jstor.org/stable/26428579
Publikováno v:
In Comptes rendus - Mathématique February 2016 354(2):205-210
Publikováno v:
In Computational Statistics and Data Analysis January 2014 69:154-172
Autor:
Amiri, Aboubacar1 aboubacar.amiri@univ-lille3.fr, Thiam, Baba1 baba.thiam@univ-lille3.fr
Publikováno v:
Statistical Papers. Jun2018, Vol. 59 Issue 2, p813-843. 31p.