Hierarchical Bayesian space-time models
Space-time data are ubiquitous in the environmental sciences. Often, as is the case with atmo- spheric and oceanographic processes, these data contain many different scales of spatial and temporal variability. Such data are often non-stationary in space and time and may involve many observation/pred...
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Veröffentlicht in: | Environmental and ecological statistics 1998-06, Vol.5 (2), p.117 |
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Sprache: | eng |
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