In this paper,we study the asymptotic behaviour of the nonparametric local linear estimation of the conditional density when the interest variable is subject to random right censoring of the scalar response variable given a functional random covariate taking values in a semi-metric space. Under some regularity conditions, the joint asymptotic normality of the estimators of the conditional density is established
In this thesis, we are concerned with nonparametric estimation of the density given a random sample....
Dans cette thèse, nous étudions les propriétés asymptotiques de paramètres fonctionnels conditionnel...
In this paper we investigate the asymptotic mean square error and the rates of convergence of the es...
In this work, we investigate the asymptotic properties of a nonparametric mode of a conditional dens...
summary:In this paper, we investigate the problem of the conditional cumulative of a scalar response...
AbstractIn this paper we derive the asymptotic normality and a Berry–Esseen type bound for the kerne...
In this study, we are interested in using the local linear technique to estimate the conditional haz...
The main objective of this paper is to investigate the nonparametric estimation of the conditional d...
The main objective of this work is to estimate, semi-parametrically, the mode of a conditional densi...
In applied density estimation problems, one often has data not only on the target variable, but also...
Dans cette thèse, nous nous intéressons à l'estimation non paramétrique de la densité conditionnelle...
The aim of this paper is to estimate nonparametrically the conditional quantile density function. A ...
AbstractIn some long term studies, a series of dependent and possibly censored failure times may be ...
Paper 1 ”Bias and bandwidth for local likelihood density estimation”: A local likelihood density est...
summary:In this work, we introduce a local linear estimator of the conditional mode for a random rea...
In this thesis, we are concerned with nonparametric estimation of the density given a random sample....
Dans cette thèse, nous étudions les propriétés asymptotiques de paramètres fonctionnels conditionnel...
In this paper we investigate the asymptotic mean square error and the rates of convergence of the es...
In this work, we investigate the asymptotic properties of a nonparametric mode of a conditional dens...
summary:In this paper, we investigate the problem of the conditional cumulative of a scalar response...
AbstractIn this paper we derive the asymptotic normality and a Berry–Esseen type bound for the kerne...
In this study, we are interested in using the local linear technique to estimate the conditional haz...
The main objective of this paper is to investigate the nonparametric estimation of the conditional d...
The main objective of this work is to estimate, semi-parametrically, the mode of a conditional densi...
In applied density estimation problems, one often has data not only on the target variable, but also...
Dans cette thèse, nous nous intéressons à l'estimation non paramétrique de la densité conditionnelle...
The aim of this paper is to estimate nonparametrically the conditional quantile density function. A ...
AbstractIn some long term studies, a series of dependent and possibly censored failure times may be ...
Paper 1 ”Bias and bandwidth for local likelihood density estimation”: A local likelihood density est...
summary:In this work, we introduce a local linear estimator of the conditional mode for a random rea...
In this thesis, we are concerned with nonparametric estimation of the density given a random sample....
Dans cette thèse, nous étudions les propriétés asymptotiques de paramètres fonctionnels conditionnel...
In this paper we investigate the asymptotic mean square error and the rates of convergence of the es...