This is a preview. Log in through your library . Abstract Gaussian random fields have been one of the most popular tools for analyzing spatial data. However, many geophysical and environmental ...

Through an interdisciplinary collaboration with the Department of Statistics at the University of California at Davis, we are developing a novel statistical inferential framework for multi-resolution ...

Random fields and Gaussian processes constitute fundamental frameworks in modern probability theory and spatial statistics, providing robust tools for modelling complex dependencies over space and ...