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.
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(2007). Implicit Computationally Linked Model Overview. In: Multiscale Modeling. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-70898-0_13
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DOI: https://doi.org/10.1007/978-0-387-70898-0_13
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