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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.

Generalized Additive Models For Location, Scale And Shape

A Distributional Regression Approach, With Applications

by Mikis D. (University Of Greenwich) Stasinopoulos, Thomas (Georg-August-Universitat, Gottingen, Germany) Kneib, Gillian Z. (University Of Sydney) Heller, Andreas (Rheinische Friedrich-Wilhelms-Universitat Bonn) Mayr e Nadja (Technische Universitat Dortmund) Klein

Property Description
ISBN: 9781009410069
Publisher: CAMBRIDGE UNIVERSITY PRESS
Release Date: February of 2024
Language: English
Cover: Hardcover
Pages: 306
Format: Book
Collection: Cambridge Series In Statistical And Probabilistic Mathematics
Categories: Books in English > Science > Mathematics
Books in English > Management > Management and Organization
Books in English > Others
EAN: 9781009410069