Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

Description

"The book fills a void in the literature and available software, providing a crucial link for students and professionals alike to engage in the analysis of spatial and spatio-temporal health data from a Bayesian perspective using R. The book emphasizes the use of MCMC via Nimble, BRugs, and CARBAyes, but also includes INLA for comparative purposes. In addition, a wide range of packages useful in the analysis of geo-referenced spatial data are employed and code is provided. It will likely become a key reference for researchers and students from biostatistics, epidemiology, public health, and environmental science"--

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  Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

  • 2021-04-29
  • 300 pages
  • Ebook
  • CRC Press