A Bayesian spatial scan statistic for multinomial data

被引：0

作者：

Self, Stella ^{[1
,2
]}

Nolan, Melissa ^{[1
]}

机构：

[1] Univ South Carolina, Arnold Sch Publ Hlth, Dept Epidemiol & Biostat, Columbia, SC USA

[2] Discovery Bldg,901 Greene St, Columbia, SC 29208 USA

来源：

STATISTICS & PROBABILITY LETTERS | 2024年 / 206卷

关键词：

Bayesian spatial scan statistic; Multinomial data; Spatial clustering detection;

D O I：

10.1016/j.spl.2023.110005

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：

Spatial scan statistics are commonly used to detect clustering. We present a Bayesian spatial scan statistic for multinomial data. After validating our method with a simulation study, we use it to detect clusters of SARS-CoV-2 infection/immunity in South Carolina.

引用

页数：8

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