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 ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 73, No. 4 (SEPTEMBER 2011), pp. 531-558 (28 pages) We propose and analyse fully data-driven methods for inference ...

We give sufficient conditions for local continuity of the isonormal process L at some point of its parameter set. Since a Gaussian process defined on a compact parameter space that is a.s. continuous ...