Gaussian Random Fields

Spatial–Temporal Modeling of Meteorological Fields with application to Climate Change

The traditional best linear unbiased prediction procedure ('Kriging') is used in this paper for inference, but within a Bayesian framework. See Brown, Le and Zidek (1994) for an alternative Bayesian formulation. Our approach is to exam how posterior …

An Approach to Statistical Spatial-Temporal Modeling of Meteorological Fields” (with discussion)

In this article we develop a random field model for the mean temperature over the region in the northern United States covering eastern Montana through the Dakotas and northern Nebraska up to the Canadian border. The readings are temperatures at the …

An Approach to Statistical Spatial-Temporal Modeling of Meteorological Fields” (rejoinder)

This is the rejoinder to the discussion of 'An Approach to Statistical Spatial-Temporal Modeling of Meteorological Fields' (https://doi.org/10.1080/01621459.1994.10476754)