Substantially updated, this self-contained second edition uses Bayesian hierarchical models in the analysis of spatial data. Three new chapters cover hierarchical models for point-process data with a focus on Bayesian inference in the presence of spatial and non-spatial predictors; the modeling of...
To Be Published October 14th 2014 by Chapman and Hall/CRC
Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area. It takes a unified, integrated approach to the material, providing cross-references among...
Published March 18th 2010 by CRC Press
Among the many uses of hierarchical modeling, their application to the statistical analysis of spatial and spatio-temporal data from areas such as epidemiology And environmental science has proven particularly fruitful. Yet to date, the few books that address the subject have been either too...
Published December 16th 2003 by Chapman and Hall/CRC