A Bayesian approach of joint models for clustered zero-inflated count data with skewness and measurement errors

DOI10.1080/02664763.2014.980941OpenAlexW2033374689MaRDI QIDQ5130190

Pei-Xiao Chu, Li-Ying Lu, Ying-Zi Fu

Publication date: 4 November 2020

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

Full work available at URL: https://doi.org/10.1080/02664763.2014.980941

zbMATH Keywords

Bayesian analysismeasurement errorsjoint hierarchical modelingskew-t-distributionzero-inflated Poisson mixed regression

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• WinBUGS

Cites Work

• Unnamed Item
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• Multi-level zero-inflated Poisson regression modelling of correlated count data with excess zeros
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• Zero-Inflated Poisson Models and C.A.MAN: A Tutorial Collection of Evidence
• A new class of multivariate skew distributions with applications to bayesian regression models
• Distributions Generated by Perturbation of Symmetry with Emphasis on a Multivariate Skewt-Distribution
• Zero‐Inflated Poisson and Binomial Regression with Random Effects: A Case Study
• Bayesian Measures of Model Complexity and Fit

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