We provide easy to verify sufficient conditions for the consistency and asymptotic normality
of a class of semiparametric optimization estimators where the criterion function does not …

Longitudinal studies often incur several problems that challenge standard statistical
methods for data analysis. These problems include non-ignorable missing data in …

In this paper, a conditional survival function estimator for censored data is studied. It is
based on a double smoothing technique: both the covariate and the variable of interest …

WE PROPOSE NEW ESTIMATORS of the latent regression function in nonparametric
censored and truncated regression models. Our estimators are computationally convenient …

In this paper we consider the estimation of the error distribution in a heteroscedastic
nonparametric regression model with multivariate covariates. As estimator we consider the …

The explanation of efficiency differentials is an essential step in any frontier analysis study
that aims to measure and compare the performance of decision making units. The …

In this article, we study a novel approach for the estimation of quantiles when facing
potential right censoring of the responses. Contrary to the existing literature on the subject …

In survival analysis, cure models have been developed to account for the presence of cured
subjects that will never experience the event of interest. Mixture cure models with a …

Credit risk models are used by financial companies to evaluate in advance the insolvency
risk caused by credits that enter into default. Many models for credit risk have been …

We propose a regression tree procedure to estimate the conditional distribution of a variable
which is not directly observed due to censoring. The model that we consider is motivated by …