Generalized Additive Models for Location, Scale and Shape

Discover the cutting-edge insights of Generalized Additive Models for Location, Scale and Shape by Cambridge University Press, set to be released in 2024. This comprehensive text spans 306 pages and offers a thorough exploration of distributional regression, making it an essential resource for researchers in statistics and data-rich fields.

Delve into a variety of real-world applications that illustrate the practical use of these models. The book meticulously covers maximum likelihood, Bayesian, and machine learning approaches, providing a well-rounded perspective on Generalized Additive Models for Location, Scale, and Shape (GAMLSS). Whether you are a seasoned statistician or a newcomer to the field, this text is designed to enhance your understanding and application of advanced statistical methods.

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