The availability of many variables with predictive power makes their selection in a regression context difficult. This study considers robust and understandable low-dimensional estimators as building blocks to improve overall predictive power by optimally combining these building blocks. Our new...

It is of considerable interest to forecast future mesothelioma mortality. No measures for exposure are available so it is not straight forward to apply a doseresponse model. It is proposed to model the counts of deaths directly using a Poisson regression with an age-period-cohort structure, but...

It is of considerable interest to forecast future mesothelioma mortality.  No measures for exposure are available so it is not straight forward to apply a dose-response model.  It is proposed to model the counts of deaths directly using a Poisson regression with an age-period-cohort structure,...

In this paper we develop the graphical exploratory tool Sizer Map for the intensity function of a nonhomogeneous Poisson process. SiZer Map is defined considering nonparametric local linear kernel estimators for the intensity function and its first derivative, where the bandwidth parameter is...

type="main" xml:id="rssa12051-abs-0001" <title type="main">Summary</title> <p>It is of considerable interest to forecast future mesothelioma mortality. No measures for exposure are available so it is not straightforward to apply a dose–response model. It is proposed to model the counts of deaths directly by using a Poisson...</p>

This paper brings together the theory and practice of local linear kernel hazard estimation. Bandwidth selection is fully analysed, including Do-validation that is shown to have good practical and theoretical properties. Insight is provided into the choice of the weighting function in the local...

We introduce one-sided cross-validation to nonparametric kernel density estimation. The method is more stable than classical cross-validation and it has a better overall performance comparable to what we see in plug-in methods. One-sided cross-validation is a more direct date driven method than...