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对计数数据的贝叶斯核机器回归:模拟南卡罗来纳州社会脆弱性和COVID-19死亡之间的关联

Fedelis Mutiso1, Hong Li2, John L Pearce3

  • 1Division of Biostatistics, Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.

Journal of the Royal Statistical Society. Series C, Applied statistics
|January 15, 2024
PubMed
概括

这项研究引入了一种新的贝叶斯模型,以更好地了解社会脆弱性如何影响COVID-19死亡率. 这种先进的方法揭示了动态关联,并确定了美国各县的关键脆弱因素.

关键词:
在B-splines上使用.斯过程是高斯过程.波利亚-玛分布的分布有条件的自回归前期.负二项式的负二项式空间的混 空间的混

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