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Using cumulative residual processes, we propose joint goodness-of-fit tests for conditional means and variances functions in the context of nonlinear time series with martingale difference innovations. The main challenge comes from the fact the cumul
Externí odkaz:
http://arxiv.org/abs/2107.00633
Autor:
Chaouch, Mohamed, Laïb, Naâmane
In this paper, we are interested in nonparametric kernel estimation of a generalized regression function, including conditional cumulative distribution and conditional quantile functions, based on an incomplete sample $(X_t, Y_t, \zeta_t)_{t\in \math
Externí odkaz:
http://arxiv.org/abs/2106.09769
The present paper deals with a nonparametric M-estimation for right censored regression model with stationary ergodic data. Defined as an implicit function, a kernel type estimator of a family of robust regression is considered when the covariate tak
Externí odkaz:
http://arxiv.org/abs/1605.00015
Akademický článek
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The aim of this paper is to study the asymptotic properties of a class of kernel conditional mode estimates whenever functional stationary ergodic data are considered. To be more precise on the matter, in the ergodic data setting, we consider a rando
Externí odkaz:
http://arxiv.org/abs/1407.1991
Autor:
Chaouch, Mohamed, Laïb, Naâmane
In this paper, a nonparametric estimator is proposed for estimating the L1-median for multivariate conditional distribution when the covariates take values in an infinite dimensional space. The multivariate case is more appropriate to predict the com
Externí odkaz:
http://arxiv.org/abs/1304.4300
Autor:
Laïb, Naâmane, Ould-Saïd, Elias
Publikováno v:
The Canadian Journal of Statistics / La Revue Canadienne de Statistique, 2000 Dec 01. 28(4), 817-828.
Externí odkaz:
https://www.jstor.org/stable/3315918
Publikováno v:
In Statistical Methodology December 2016 33:234-255
Autor:
Laïb, Naâmane, Louani, Djamal
Publikováno v:
In Journal of the Korean Statistical Society March 2016 45(1):1-13
Autor:
Chaouch, Mohamed, Laïb, Naâmane
Publikováno v:
In Journal of the Korean Statistical Society June 2015 44(2):161-178