Study of a family of asymmetric densities and flexible quantile regression KU Leuven
Probability distributions are fundamental tools for data analysis and statistical inference. Although often a symmetric distribution is used as a reference density for statistical modelling, it is unsuitable for multiple other applications. In this dissertation, we study a broad family of asymmetric distributions that can describe skewed data properly. A symmetric density is a special element in this family of densities. Based on the proposed ...