Generalized Additive Models for Location, Scale and Shape
Generalized Additive Models for Location, Scale and Shape
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
STASINOPOULOS, MIKIS D. (UNIVERSITY OF GREENWICH),KNEIB, THOMAS (GEORG-AUGUST-UNIVERSITAT, GOTTINGEN, GERMANY),KLEIN, NADJA (TECHNISCHE UNIVERSITAT DORTMUND),MAYR, ANDREAS (RHEINISCHE FRIEDRICH-WILHELMS-UNIVERSITAT BONN),HELLER, GILLIAN Z. (UNIVERSITY OF SYDNEY)
Generalized Additive Models for Location, Scale and Shape
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
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9781009410069Mladinska knjiga ID
9781009410069Leto izida
2024Datum izida
29.02.2024Število strani
306Status dobavljivosti
7-10 delovnih dniZbirka
Cambridge Series in Statistical and Probabilistic MathematicsZaložnik
Cambridge University PressAvtor
Stasinopoulos, Mikis D. (University of Greenwich),Kneib, Thomas (Georg-August-Universitat, Gottingen, Germany),Klein, Nadja (Technische Universitat Dortmund),Mayr, Andreas (Rheinische Friedrich-Wilhelms-Universitat Bonn),Heller, Gillian Z. (University of Sydney)Dimenzije
186 x 264 x 28BIC
PBTOpis
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.Pogosto kupljeno skupaj
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