Implicit Computationally Linked Model Overview

Part of the Springer Series in Statistics book series (SSS)

In contrast to the rest of the multiscale models discussed in this book, the methods of this section do not attempt to explicitly model the joint distribution of the data at all of the scales. Instead, a probability model is specified for each scale independently, and then the scales are linked during the fitting algorithms. A fully dependent multiscale fit is then obtained implicitly.


Simulated Annealing Coarse Grid Global Maximum Multigrid Method Reversible Jump 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer Science+Business Media, LLC 2007

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