Title:
Using R for Bayesian spatial and spatio-temporal health modeling
Author:
Lawson, Andrew (Andrew B.), author.
ISBN:
9781000376722
9781000376708
9781003043997
Edition:
1st.
Physical Description:
1 online resource : illustrations (black and white).
Series:
Chapman & Hall/CRC the R series
General Note:
<P>1. Introduction and Data Sets<BR>2. R Graphics and Spatial Health Data<BR>3. Bayesian Hierarchical Models<BR>4. Computation<BR>5. Bayesian model Goodness of Fit Criteria<BR>6. Bayesian Disease Mapping Models</P><P>Part I Basic Software Approaches</P><P>7. BRugs/OpenBUGS<BR>8. Nimble<BR>9. CARBayes<BR>10. INLA and R-INLA<BR>11. Clustering, Latent Variable and Mixture Modeling<BR>12. Spatio-Temporal Modeling with MCMC<BR>13. Spatio-Temporal Modeling with INLA</P><P>Part II Some Advanced and Special topics</P><P>14. Multivariate Models<BR>15. Survival Modeling<BR>16. Missingness, Measurement Error and Variable Selection<BR>17. Individual Event Modeling<BR>18. Infectious Disease Modeling</P>
Subject Term:
Electronic Access:
Taylor & Francis https://www.taylorfrancis.com/books/9781003043997OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
Copies:
Available:*
Library | Material Type | Item Barcode | Shelf Number | Status | Item Holds |
|---|---|---|---|---|---|
Searching... | E-Book | 551787-1001 | RA409.5 | Searching... | Searching... |