This is a book about statistical distributions, their properties, and their application to modelling the dependence of the location, scale, and shape of the dis

This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models

"This text provides a state-of-the-art treatment of distributional regression, accompanied by real-world examples from diverse areas of application. Maximum lik

Now in widespread use, generalized additive models (GAMs) have evolved into a standard statistical methodology of considerable flexibility. While Hastie and Tib

A comprehensive presentation of generalized additive models for location, scale and shape linking methods with diverse applications.