Computationally efficient methods in spatial statistics : Applications in environmental modeling
In this thesis, computationally efficient statistical models for large spatial environmental data sets are constructed. In the first part of the thesis, a method for estimating spatially dependent temporal trends is developed. A space-varying regression model, where the regression coefficients for the spatial locations are dependent, is used. The spatial dependence structure is specified by a Ga
