Generalized Additive Models For Location Scale And Shape

This text provides a stateoftheart treatment of distributional regression accompanied by realworld examples from diverse areas of application. Maximum likelihood Bayesian and machine learning approaches are covered indepth and contrasted providing an integrated perspective on GAMLSS for researchers in statistics and other datarich fields.