New link functions for distribution-specific quantile regression based on vector generalized linear and additive models

DOI10.1155/2019/3493628zbMath1431.62316OpenAlexW2944335868WikidataQ127944897 ScholiaQ127944897MaRDI QIDQ2272857

Thomas W. Yee, V. F. Miranda-Soberanis

Publication date: 17 September 2019

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

Full work available at URL: https://doi.org/10.1155/2019/3493628

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Generalized linear models (logistic models) (62J12)

Related Items (3)

Two-parameter link functions, with applications to negative binomial, Weibull and quantile regression ⋮ VGAMextra ⋮ Mixed data generation packages and related computational tools in R

Uses Software

• R
• VGAM
• GAMLSS
• VGAMdata

Cites Work

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• Vector generalized linear and additive models. With an implementation in R
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Reduced-rank vector generalized linear models
• Regression Quantiles
• Generalized Linear Models With Examples in R
• Generalized Additive Models for Location, Scale and Shape

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