Bayesian approach to zero-inflated bivariate ordered probit regression model, with an application to tobacco use

DOI10.1155/2012/617678zbMath1233.62044OpenAlexW2037039646WikidataQ58910977 ScholiaQ58910977MaRDI QIDQ764435

Shiferaw Gurmu, Getachew A. Dagne

Publication date: 13 March 2012

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

Full work available at URL: https://doi.org/10.1155/2012/617678

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to social sciences (62P25) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12) Numerical analysis or methods applied to Markov chains (65C40)

Related Items (1)

Inference on zero inflated ordinal models with semiparametric link

Uses Software

• BayesDA

Cites Work

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• A zero-inflated ordered probit model, with an application to modelling tobacco consumption
• Bayesian analysis of the ordered probit model with endogenous selection
• Bayesian analysis of cross-section and clustered data treatment models
• Markov chains for exploring posterior distributions. (With discussion)
• Robust Estimation for Zero-Inflated Poisson Regression
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• Zero‐Inflated Poisson and Binomial Regression with Random Effects: A Case Study
• Bayesian Measures of Model Complexity and Fit
• A Bivariate Ordered Probit Model with Truncation: Helmet Use and Motorcycle Injuries

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