Titlebook: Maximum Entropy and Bayesian Methods; Paul F. Fougère Book 1990 Kluwer Academic Publishers 1990 Maximum entropy method.Probability theory.

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Book 1990owed by those on applications. The tenth paper involves both Bayesian and MaxEnt methods and serves as a bridge to the remaining papers which are devoted to Maximum Entropy theory and practice. Once again, an attempt has been made to start with the more theoretical papers and to follow them with mor

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V. A. Macaulay,B. Buckl switching in communication networks are discussed, involving optical circuit, packet, and burst switching. ...The chapters are self-contained with minimum overlap. They bring together academic and industrial 978-1-4419-3869-5978-0-387-29159-8

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Probability Theory and the Associativity Equation,ote the space to prove the uniqueness of or solve this functional equation. We demonstrate the unique relation of the associativity equation with rationality and consistency; then, we determine the solution of this equation by a method that does not assume differentiability.

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Objective Bayesianism and Geometry,densities able to act as prior distributions. These entropic priors form the exponential family generated by the invariant measure in the class, that has the entropy of each theory as sufficient statistic.

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