Bayesian Modelling of Spatio-Temporal Data with R.

Bibliographic Details
Main Author:	Sahu, Sujit Kumar
Corporate Author:	EBSCOhost
Format:	eBook
Language:	English
Published:	Boca Raton : Chapman and Hall/CRC, 2022.
Edition:	First edition.
Subjects:	Bayesian statistical decision theory. MATHEMATICS > Probability & Statistics > Bayesian Analysis. MATHEMATICS > Probability & Statistics > Regression Analysis. COMPUTERS > Mathematical & Statistical Software. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

1. Examples of spatio-temporal data2. Jargon of spatial and spatio-temporal modeling3. Exploratory data analysis methods4. Bayesian inference methods5. Bayesian computation methods6. Bayesian modeling for point referenced spatial data7. Bayesian modeling for point referenced spatio-temporal data8. Practical examples of point referenced data modeling9. Bayesian forecasting for point referenced data10. Bayesian modeling for areal unit data11. Further examples of areal data modeling12. Gaussian processes for data science and other applicationsAppendix A. Statistical densities used in the bookAppendix B. Answers to selected exercises