Comparing Bayesian Spatial Conditional Overdispersion and the Besag–York–Mollié Models: Application to Infant Mortality Rates

In this paper, we review overdispersed Bayesian generalized spatial conditional count data models. Their usefulness is illustrated with their application to infant mortality rates from Colombian regions and by comparing them with the widely used Besag–York–Mollié (BYM) models. These overdispersed mo...

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書目詳細資料

Principais autores:	Mabel Morales-Otero, Vicente Núñez-Antón
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2021-01-01
叢編:	Mathematics
主題:	Bayesian models count data infant mortality rates INLA MCMC spatial statistics
在線閱讀:	https://www.mdpi.com/2227-7390/9/3/282
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