Variable selection for varying dispersion beta regression model

DOI10.1080/02664763.2013.830284OpenAlexW2007685135MaRDI QIDQ5128562

Ji-cai Liu, Ri-quan Zhang, Weihua Zhao, Yazhao Lv

Publication date: 28 October 2020

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

Full work available at URL: https://doi.org/10.1080/02664763.2013.830284

zbMATH Keywords

variable selectionBICcoordinate descent algorithmbeta regressionvarying dispersion

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10)

Related Items

A Bayesian approach for evaluation of determinants of health system efficiency using stochastic frontier analysis and beta regression ⋮ Estimation and variable selection for proportional response data with partially linear single-index models ⋮ Skewness of maximum likelihood estimators in the varying dispersion beta regression model ⋮ Regression modelling with the tilted beta distribution: A Bayesian approach ⋮ Variable selection in gamma regression models via artificial bee colony algorithm ⋮ Variable dispersion beta regressions with parametric link functions ⋮ Bessel regression model: Robustness to analyze bounded data ⋮ Nonparametric additive beta regression for fractional response with application to body fat data ⋮ Variable selection in finite mixture of regression models using the skew-normal distribution

Uses Software

• alr3
• glmnet
• betareg

Cites Work

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