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

De (autor): Mikis D. Stasinopoulos

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Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications - Mikis D. Stasinopoulos

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

De (autor): Mikis D. Stasinopoulos

review Goodreads
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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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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