A Bayesian two-part quantile regression model for count data with excess zeros

DOI10.1177/1471082X18799919OpenAlexW2895835466WikidataQ129046330 ScholiaQ129046330MaRDI QIDQ5142264

Clay King, Joon Jin Song

Publication date: 30 December 2020

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1471082x18799919

zbMATH Keywords

count dataquantile regressionBayesian methodshurdle modelexcess zeros

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Bayesian analysis of nonnegative data using dependency-extended two-part models ⋮ A semi-parametric quantile regression approach to zero-inflated and incomplete longitudinal outcomes

Uses Software

• R
• quantreg
• AER
• lqmm

Cites Work

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• Quantiles for Counts
• Bayesian quantile regression

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