Bayesian analysis for zero-or-one inflated proportion data using quantile regression

DOI10.1080/00949655.2014.986733OpenAlexW2031242626MaRDI QIDQ5222307

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Publication date: 1 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2014.986733

zbMATH Keywords

two-part modelBayesian quantile regressionproportion dataproportion of households with access to electricity in Brazil

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Bayesian inference (62F15)

Related Items (8)

The unit-Weibull distribution as an alternative to the Kumaraswamy distribution for the modeling of quantiles conditional on covariates ⋮ Bayesian variable selection in quantile regression with random effects: an application to Municipal Human Development Index ⋮ Bayesian tobit quantile regression with penalty ⋮ Inflated Kumaraswamy regressions with application to water supply and sanitation in Brazil ⋮ A parametric quantile regression approach for modelling zero‐or‐one inflated double bounded data ⋮ A semi-parametric quantile regression approach to zero-inflated and incomplete longitudinal outcomes ⋮ Bayesian quantile regression analysis for continuous data with a discrete component at zero ⋮ A Bayesian two-part quantile regression model for count data with excess zeros

Uses Software

• quantreg
• BayesDA

Cites Work

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• Regression Quantiles
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• Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods
• Bayesian quantile regression

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