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

The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to

This book describes an array of power tools for data analysis that are based on nonparametric regression and smoothing techniques. These methods relax the linea

This book presents a greatly enlarged statistical framework compared to generalized linear models (GLMs) with which to approach regression modelling. Comprising

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp