Generalized additive models for location, scale and shape: a distributional regression approach, with applications
Auteur :
Stasinopoulos, Mikis D. / Kneib, Thomas / Klein, Nadja / Mayr, Andreas / Heller, Gillian Z.
Éditeur :
Cambridge University Press
ISBN :
9781009410069
Date de publication :
29 févr. 2024
Dimensions :
26,2 x 18,5 x 2,2 cm
Poids :
770 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
This text provides a state-of-the-art treatment of distributional regression, accompanied by real-world examples from diverse areas of application. Maximum likelihood, Bayesian and machine learning approaches are covered in-depth and contrasted, providing an integrated perspective on GAMLSS for researchers in statistics and other data-rich fields.