"Using R for Bayesian Spatial and Spatio-Temporal Health Modeling" - Information and Links:

Using R for Bayesian Spatial and Spatio-Temporal Health Modeling - Info and Reading Options

"Using R for Bayesian Spatial and Spatio-Temporal Health Modeling" was published by Taylor & Francis Group in 2021 - Boca Raton, FL, it has 284 pages and the language of the book is English.


“Using R for Bayesian Spatial and Spatio-Temporal Health Modeling” Metadata:

  • Title: ➤  Using R for Bayesian Spatial and Spatio-Temporal Health Modeling
  • Author:
  • Language: English
  • Number of Pages: 284
  • Publisher: Taylor & Francis Group
  • Publish Date:
  • Publish Location: Boca Raton, FL

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"Using R for Bayesian Spatial and Spatio-Temporal Health Modeling" Description:

Open Data:

Introduction and data sets -- R graphics and spatial health data -- Bayesian hierarchical models -- Computation -- Bayesian model goodness of fit criteria -- Bayesian disease mapping models -- BRugs/OpenBUGS -- Nimble -- CARBayes -- INLA and R-INLA -- Clustering, latent variable and mixture modeling -- Spatio-temporal modeling with MCMC -- Spatio-temporal modeling with INLA -- Multivariate models -- Survival modeling -- Missingness, measurement error and variable selection -- Individual event modeling -- Infectious disease modeling

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