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Article
A study on sampling design for optimal prediction of space–time stochastic processes
Optimal selection of sampling strategies is considered for the prediction of spatio-temporal processes in a state-space-model framework. General conditions are assumed in relation to the basic elements of the...
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Article
Semi-parametric statistical approaches for space-time process prediction
The problem of estimation and prediction of a spatial-temporal stochastic process, observed at regular times and irregularly in space, is considered. A mixed formulation involving a non- parametric component, ...
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Article
A state-space model approach to optimum spatial sampling design based on entropy
We consider the spatial sampling design problem for a random field X. This random field is in general assumed not to be directly observable, but sample information from a related variable Y is available. Our p...