Bayesian Analysis for the Zero-inflated Regression Models

- Journal title : Korean Journal of Applied Statistics
- Volume 21, Issue 4, 2008, pp.603-613
- Publisher : The Korean Statistical Society
- DOI : 10.5351/KJAS.2008.21.4.603

Title & Authors

Bayesian Analysis for the Zero-inflated Regression Models

Jang, Hak-Jin; Kang, Yun-Hee; Lee, S.; Kim, Seong-W.;

Jang, Hak-Jin; Kang, Yun-Hee; Lee, S.; Kim, Seong-W.;

Abstract

We often encounter the situation that discrete count data have a large portion of zeros. In this case, it is not appropriate to analyze the data based on standard regression models such as the poisson or negative binomial regression models. In this article, we consider Bayesian analysis for two commonly used models. They are zero-inflated poisson and negative binomial regression models. We use the Bayes factor as a model selection tool and computation is proceeded via Markov chain Monte Carlo methods. Crash count data are analyzed to support theoretical results.

Keywords

Zero-inflated model;Bayesian model selection;Bayes factor;Markov chain Monte Carlo;

Language

Korean

Cited by

1.

COTS 하드웨어 컴포넌트 기반 임베디드 소프트웨어 신뢰성 모델링,구태완;백종문;

한국정보과학회논문지:소프트웨어및응용, 2009. vol.36. 8, pp.607-615

3.

허들모형에 대한 베이지안 추론,선지영;심정숙;정병철;

Journal of the Korean Data Analysis Society, 2014. vol.16. 4B, pp.1837-1847

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