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Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications

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Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications - Stasinopoulos, Mikis D, and Kneib, Thomas, and Klein, Nadja
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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"--

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Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications 2024, Cambridge University Press, Cambridge

ISBN-13: 9781009410069

Hardcover