Censored regression models have received a great deal of attention in both the theoretical and applied statistics literature. Here, we consider a model in which the response variable is censored but not the covariates. We propose a new estimator of the conditional quantiles based on the local linear method, and give an algorithm for its numerical implementation. We study its asymptotic properties and evaluate its performance on simulated data sets. Copyright 2005 Board of the Foundation of the Scandinavian Journal of Statistics..
Censored quantile regression offers a valuable supplement to Cox propor-tional hazards model for sur...
In this paper, we present an algorithm for Censored Quantile Regression (CQR) estimation problems. O...
In this paper we propose an estimation procedure for a censored regression model where the latent re...
We consider the problem of nonparametrically estimating the conditional quantile function from censo...
Abstract: We consider the problem of nonparametrically estimating the conditional quantile function ...
<p>In this paper, we study a novel approach for the estimation of quantiles when facing potential ri...
When the dimension of the covariate space is high, semiparametric regression models become indispens...
When the dimension of the covariate space is high, semiparametric regression models become indispens...
We propose a censored quantile regression estimator motivated by unbiased estimating equations. Unde...
<p>Quantile regression provides an attractive tool to the analysis of censored responses, because th...
We propose a way to estimate a parametric quantile function when the dependent variable, e.g. the su...
In this paper, we investigate a new procedure for the estimation of a linear quantile regression wit...
In this paper, we investigate a new procedure for the estimation of a linear quantile regression wit...
It has previously been shown that consistent estimation of the unknown coefficients of the censored ...
The paper introduces an estimator for the linear censored quantile regression model when the censori...
Censored quantile regression offers a valuable supplement to Cox propor-tional hazards model for sur...
In this paper, we present an algorithm for Censored Quantile Regression (CQR) estimation problems. O...
In this paper we propose an estimation procedure for a censored regression model where the latent re...
We consider the problem of nonparametrically estimating the conditional quantile function from censo...
Abstract: We consider the problem of nonparametrically estimating the conditional quantile function ...
<p>In this paper, we study a novel approach for the estimation of quantiles when facing potential ri...
When the dimension of the covariate space is high, semiparametric regression models become indispens...
When the dimension of the covariate space is high, semiparametric regression models become indispens...
We propose a censored quantile regression estimator motivated by unbiased estimating equations. Unde...
<p>Quantile regression provides an attractive tool to the analysis of censored responses, because th...
We propose a way to estimate a parametric quantile function when the dependent variable, e.g. the su...
In this paper, we investigate a new procedure for the estimation of a linear quantile regression wit...
In this paper, we investigate a new procedure for the estimation of a linear quantile regression wit...
It has previously been shown that consistent estimation of the unknown coefficients of the censored ...
The paper introduces an estimator for the linear censored quantile regression model when the censori...
Censored quantile regression offers a valuable supplement to Cox propor-tional hazards model for sur...
In this paper, we present an algorithm for Censored Quantile Regression (CQR) estimation problems. O...
In this paper we propose an estimation procedure for a censored regression model where the latent re...