Bayesian Analysis for the Zero-inflated Regression Models

被引：0
|
作者：
Jane, Hakjin [1 ]
Kang, Yunhee [1 ]
Lee, S. [2 ]
Kim, Seong W. [1 ]
机构：
[1] Hanyang Univ, Div Appl Math, 1271 Sa 3 Dong, Ansan 426791, South Korea
[2] Univ Seoul, Div Transportat Engn, Seoul 130743, South Korea
来源：
KOREAN JOURNAL OF APPLIED STATISTICS | 2008年 / 21卷 / 04期
关键词：
Zero-inflated model; Bayesian model selection; Bayes factor; Markov chain Monte Carlo;
D O I：
暂无
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
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.
引用
收藏
页码：603 / 613
页数：11
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