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Book Synopsis
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

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    A Hardback by Mikis D. Stasinopoulos

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      Book details

      Publisher Cambridge University Press
      Published 2/29/2024
      ISBN-13 9781009410069
      978-1009410069
      ISBN-10 1009410067
      Also in:
      Mathematics Probability and statistics

      Description

      Book Synopsis
      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.

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