文章基本信息

标题：A dengue fever study in the state of Rio de Janeiro with the use of generalized skew-normal/independent spatial fields
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作者：Marcos O. Prates ; Dipak K. Dey ; Victor H. Lachos 等
期刊名称：Chilean Journal of Statistics
印刷版ISSN：0718-7912
电子版ISSN：0718-7920
出版年度：2012
卷号：3
期号：2
页码：143-155
出版社：Chilean Statistical Society
摘要：This paper develops a novel spatial process using generalized skew-normal/independent distributions when the usual Gaussian process assumptions are questionable and transformation to a Gaussian random field is not appropriate. The proposed model provides flexibility in capturing the effects of skewness and heavy tail behavior of the data while maintaining spatial dependence using a conditional autoregressive structure. We use Bayesian hierarchical methods to fit such models and show the validity of our approach. Furthermore, we use Bayesian model selection criteria to choose appropriate models for a real data set on the dengue fever infection in the state of Rio de Janeiro.
关键词：Bayesian hierarchical methods · Conditional autoregressive · Conditional;predictive ordinate · Markov chain Monte Carlo · Scale mixture of skew-normal;distributions · Skew-normal/Independent distributions · Spatial association.JPKDO