5 citations · 7 across the 8 of their papers we have counts for
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Partial heteroscedastic deconvolution estimation in nonparametric regression
Baba Thiam
In this paper, we consider a partial deconvolution kernel estimator for nonparametric regression when some covariates are measured with error while others are observed without erro…
Consistency of the recursive nonparametric regression estimation for dependent functional data
Aboubacar Amiri, Baba Thiam
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 e…
Recursive estimation of nonparametric regression with functional covariate
Aboubacar Amiri, Christophe Crambes, Baba Thiam
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…
Robust quantile estimation and prediction for spatial processes
Sophie Dabo Niang, Baba Thiam
In this paper, we present a statistical framework for modeling conditional quantiles of spatial processes assumed to be strongly mixing in space. We establish the consistency…
Joint behaviour of semirecursive kernel estimators of the location and of the size of the mode of a probability density function
Abdelkader Mokkadem, Mariane Pelletier, Baba Thiam
Let and denote the location and the size of the mode of a probability density. We study the joint convergence rates of semirecursive kernel estimators of and . We sh…
Large and moderate deviations principles for kernel estimators of the multivariate regression
Abdelkader Mokkadem, Mariane Pelletier, Baba Thiam
In this paper, we prove large deviations principle for the Nadaraya-Watson estimator and for the semi-recursive kernel estimator of the regression in the multidimensional case. Und…