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