Titlebook: Maximum Entropy and Bayesian Methods; Santa Fe, New Mexico Kenneth M. Hanson,Richard N. Silver Conference proceedings 1996 Kluwer Academic

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Bayesian Multimodal Evidence Computation by Adapti Tempering MCMC, the probability of the observed data given a model, the model evidence can be shown to be equal to the normalising constant of the underlying posterior distribution. When posterior unimodality is a valid assumption, it can be adequately evaluated using methods such as the Laplace method and standar

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to nationwide coverage. We showed that such a WDM-based network architecture can provide a high aggregate system capacity due to spatial reuse of wavelengths. Our objective was to investigate the overall design, analysis, upgradability, and optimization of a nationwide WDM network consistent with de

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K. M. Hanson,G. S. Cunningham the first edition, and expands coverage of stochastic optim.Optimal control methods are used to determine optimal ways to control a dynamic system. The theoretical work in this field serves as a foundation for the book, which the authors have applied to business management problems developed from t

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