Scalable Visualization Methods for Modern Generalized Additive Models

DOI10.1080/10618600.2019.1629942OpenAlexW2964026977MaRDI QIDQ3391450

Matteo Fasiolo, Yannig Goude, Raphaël Nedellec, Simon N. Wood

Publication date: 28 March 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10618600.2019.1629942

zbMATH Keywords

visualizationgeneralized additive modelsregression modelingelectricity load forecastinginteractive model buildingresiduals checking

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Bayesian variable selection and estimation in quantile regression using a quantile-specific prior ⋮ Additive stacking for disaggregate electricity demand forecasting ⋮ mgcViz

Uses Software

• R
• hexbin
• ggplot2
• KernSmooth
• OpenGL
• GAMLSS
• Worm plot
• gamair
• shiny
• plotly

Cites Work

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• On quantile quantile plots for generalized linear models
• Sinh-arcsinh distributions
• Residuals in Generalized Linear Models
• Generalized Additive Models for Location, Scale and Shape
• Predictive Model Assessment for Count Data