Generalized additive models for location, scale, and shape : a distributional regression approach, with applications / Mikis D. Stasinopoulos, Thomas Kneib, Nadja Klein, Andreas Mayr, Gillian Z. Heller.

Format:

• Book

Author/Creator:

• Stasinopoulos, Mikis D., author.
• Kneib, Thomas, author.
• Klein, Nadja, 1987- author.
• Mayr, Andreas, 1983- author.
• Heller, Gillian Z., author.

Series:

• Cambridge series on statistical and probabilistic mathematics ; 56.
• Cambridge series in statistical and probabilistic mathematics ; 56

Language:

English

Subjects (All):

• Regression analysis--Mathematical models.
• Theory of distributions (Functional analysis).

Physical Description:

1 online resource (xx, 285 pages) : digital, PDF file(s).

Edition:

First edition.

Place of Publication:

Cambridge ; New York, NY : Cambridge University Press, 2024.

Summary:

"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"-- Provided by publisher

Contents:

• Distributional regression models
• Distributions
• Additive model terms
• Inferential methods
• Penalized maximum likelihood inference
• Bayesian inference
• Statistical boosting for GAMLSS
• Fetal ultrasound
• Speech intelligibility testing
• Social media post performance
• Childhood undernutrition in India
• Socioeconomic determinants of federal election outcomes in Germany
• Variable selection for gene expression data

Notes:

• Includes bibliographical references and index.
• Title from publisher's bibliographic system (viewed on 22 Feb 2024).

ISBN:

• 9781009410052
• 1009410059
• 9781009410076
• 1009410075