Sensitivity Analysis on Hyperprior Distribution of the Variance Components of Hierarchical Bayesian Spatiotemporal Disease Mapping

Sensitivity Analysis on Hyperprior Distribution of the Variance Components of Hierarchical Bayesian Spatiotemporal Disease Mapping

Spatiotemporal disease mapping modeling with count data is gaining increasing prominence. This approach serves as a benchmark in developing early warning systems for diverse disease types. Spatiotemporal modeling, characterized by its inherent complexity, integrates spatial and temporal dependency s...

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Bibliographic Details
Main Authors: I Gede Nyoman Mindra Jaya, Farah Kristiani, Yudhie Andriyana, Anna Chadidjah
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Mathematics
Subjects:
spatiotemporal disease mapping
hierarchical Bayesian
hyperprior
variance component
Online Access:https://www.mdpi.com/2227-7390/12/3/451

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https://www.mdpi.com/2227-7390/12/3/451

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