This highly useful book contains methodology for the analysis of
data that arise from multiscale processes. It brings together a
number of recent developments and makes them accessible to a wider
audience. Taking a Bayesian approach allows for full accounting of
uncertainty, and also addresses the delicate issue of uncertainty
at multiple scales. These methods can handle different amounts of
prior knowledge at different scales, as often occurs in
practice.
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