Flexible hazard-based models and quantile regression for right-censored data using two-piece asymmetric distributions KU Leuven
This project aims at developing new methodologies for statistical inference for flexible mean and quantile regression models based on complex data, in particular censored data. The emphasis in this research will be on inference for quantiles, including quantile regression. In recent years, a few large asymmetric families of distributions have been studied. The interesting feature of these families is that the location parameter coincides with a ...