Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models

John Hughes, Murali Haran

Non-gaussian spatial data are very common in many disciplines. For instance, count data are common in disease mapping, and binary data are common in ecology. When fitting spatial r…