Using R for Bayesian Spatial and Spatio-Temporal Health Modeling - Info and Reading Options
By Andrew Lawson
"Using R for Bayesian Spatial and Spatio-Temporal Health Modeling" was published by CRC Press LLC in 2023 - Boca Raton, FL, it has 1 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: Andrew Lawson
- Language: English
- Number of Pages: 1
- Publisher: CRC Press LLC
- Publish Date: 2023
- Publish Location: Boca Raton, FL
“Using R for Bayesian Spatial and Spatio-Temporal Health Modeling” Subjects and Themes:
- Subjects: Public health
Edition Specifications:
- Pagination: 284
Edition Identifiers:
- The Open Library ID: OL50617353M - OL25769312W
- ISBN-13: 9780367760670 - 9781000376722 - 9781000376708 - 9781003043997
- All ISBNs: 9780367760670 - 9781000376722 - 9781000376708 - 9781003043997
AI-generated Review of “Using R for Bayesian Spatial and Spatio-Temporal Health Modeling”:
"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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