Using R for Bayesian spatial and spatio-temporal health modeling. (2021)

• Record Type: Book
• Further Information: Note: Andrew B. Lawson.
• Authors: Lawson, Andrew (Andrew B.)
• Contents: 1. Introduction and Data Sets; 2. R Graphics and Spatial Health Data; 3. Bayesian Hierarchical Models; 4. Computation; 5. Bayesian model Goodness of Fit Criteria; 6. Bayesian Disease Mapping Models Part I Basic Software Approaches 7. BRugs/OpenBUGS; 8. Nimble; 9. CARBayes; 10. INLA and R-INLA; 11. Clustering, Latent Variable and Mixture Modeling; 12. Spatio-Temporal Modeling with MCMC; 13. Spatio-Temporal Modeling with INLA Part II Some Advanced and Special topics 14. Multivariate Models; 15. Survival Modeling; 16. Missingness, Measurement Error and Variable Selection; 17. Individual Event Modeling; 18. Infectious Disease Modeling
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2021
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 610.21; Medical statistics -- Data processing; Medical mapping -- Data processing; Medical statistics -- Computer programs; Geospatial data -- Computer processing; Geographic information systems; Information modeling -- Simulation methods; R (Computer program language); Bayesian statistical decision theory
• Languages: English
• ISBNs: 9781000376722; 9781000376708; 9781003043997
• Related ISBNs: 9780367490126
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.