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2348 results in Statistical theory and methods

Page 14 of 118

  • 1 - Distributional Regression Models

  • from Part I - Introduction and Basics
  • Mikis D. Stasinopoulos, University of Greenwich, Thomas Kneib, Georg-August-Universität, Göttingen, Germany, Nadja Klein, Technische Universität Dortmund, Andreas Mayr, Rheinische Friedrich-Wilhelms-Universität Bonn, Gillian Z. Heller, University of Sydney
  • Book:
    Generalized Additive Models for Location, Scale and Shape
    Published online:
    22 February 2024
    Print publication:
    29 February 2024, pp 3-29
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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
  • Published online:
    22 February 2024
    Print publication:
    29 February 2024
  • 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 models and illustrate their usage in complex applications. Written by the international team who developed GAMLSS, the text's focus on practical questions and problems sets it apart. Case studies demonstrate how researchers in statistics and other data-rich disciplines can use the model in their work, exploring examples ranging from fetal ultrasounds to social media performance metrics. The R code and data sets for the case studies are available on the book's companion website, allowing for replication and further study.

Page 14 of 118