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Gaussian Multiscale Models on Trees

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

Many multiscale approaches have appeared in the engineering literature, with a focus on the development of coarser representations of the phenomenon of interest in order to obtain fast computational algorithms. With this objective in mind, a particularly effective multiscale framework was developed by Allan S. Willsky and his coauthors in the 1990s (Basseville et al., 1992a,b; Luettgen et al., 1993; Chou et al., 1994a,b; Luettgen et al., 1994; Luettgen and Willsky, 1995a,b; Irving et al., 1997; Frakt and Willsky, 1998; Daoudi et al., 1999).

Keywords

Markov Chain Monte Carlo Latent Process Multiscale Model Resolution Level Markov Chain Monte Carlo Algorithm 
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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Copyright information

© Springer Science+Business Media, LLC 2007

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