Publisher description for Hierarchical modeling and analysis for spatial data / Sudipto Banerjee, Bradley P. Carlin, Alan E. Gelfand.

Bibliographic record and links to related information available from the Library of Congress catalog

Information from electronic data provided by the publisher. May be incomplete or contain other coding.


Hierarchical Modeling and Analysis for Spatial Data is the first accessible, up-to-date treatment of Bayesian methods, modeling, and data analysis for spatial and spatio-temporal data. Self-contained, it includes overviews of the necessary background material, exercises, and brief tutorial on using WinBUGS, R, and S-Plus software for Bayesian modeling. This book provides clear explanations, plentiful illustrations--some in full color--and lays the groundwork for using easily accessible software to immediately apply the techniques to your data. Written by a team of real leaders in the field, it will undoubtedly remain the primary textbook and reference on the subject for years to come.

Library of Congress subject headings for this publication:
Spatial analysis (Statistics) -- Mathematical models.