The semiparametric regression model for bimodal data with different penalized smoothers applied to climatology, ethanol and air quality data

DOI10.1080/02664763.2020.1803812OpenAlexW3048212011MaRDI QIDQ5861286

Edwin M. M. Ortega, Julio C. S. Vasconcelos

Publication date: 4 March 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2020.1803812

zbMATH Keywords

splinessemiparametric modeladditive modelgeneralized inverse Gaussian distributionadditive partial model

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Uses Software

• SemiPar
• GAMLSS

Cites Work

• A framework for modelling overdispersed count data, including the Poisson-shifted generalized inverse Gaussian distribution
• Statistical properties of the generalized inverse Gaussian distribution
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• The new odd log-logistic generalized inverse Gaussian regression model
• Semiparametric Regression
• Generalized Additive Models for Location, Scale and Shape
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