Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications

by Mikis D. Stasinopoulos, Nadja Klein, Thomas Kneib

An emerging field in statistics, distributional regression facilitates the modelling of the complete conditional distribution, rather than just the mean. This book introduces generalized additive models for location, scale and shape (GAMLSS) - one of the most important classes of distributional regression. Taking a broad perspective, the authors consider penalized likelihood inference, Bayesian inference, and boosting as potential ways of estimating...

• Format: Hardcover
• Language: English
• ISBN: 1009410067
• ISBN13: 9781009410069
• Release Date: February 2024
• Publisher: Cambridge University Press
• Length: 306 Pages
• Weight: 1.65 lbs.
• Dimensions: 0.8" x 7.0" x 10.0"