Predictions in Spatial Statistics
Yong Wang / Eastern Kentucky University
Spatial statistics has been a very helpful tool in areas such as climatology, real estate, agriculture, ecology and traffic monitoring. People using spatial statistics are usually more interested in making accurate predictions than providing unbiased, efficient and consistent estimations. Such a need has directed spatial statisticians to a path which focuses more on the predictive performance of their models. As a result, there are demands for work in theory, application and computation to accomplish this goal. The purpose of this talk is to briefly introduce the practice of spatial statisticians in terms of how they address these issues and some open problems in this area.