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

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Applications of Maximum Entropy and Bayesian Methods in Neutron Scattering,ourier-like data from small angle neutron scattering. We have also been considering the question of how to optimise instrumental hardware, leading to the derivation of better “figures-of-merit” for spectrometers and moderators, which may result in a far-reaching revision of ideas on the design of neutron scattering facilities.
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The Conditional Entropy of a Canonical Constraint,it happens beyond a “barrier” where the associated partition function becomes singular. The physical interpretation remains uncertain, but the author’s speculations favor disordered systems like amorphous materials, turbulent flows, etc.
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Maximum Entropy Description of Plasma Equilibrium,rbitrarily close to it; neutralisation of fixed point charges is exact; and a fixed point dipole causes the entire plasma to condense onto it! Failure of these results in practice is due to particle correlations and the non-zero size of real multipoles.
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Maximum Entropy and Equations of State for Random Cellular Structures,able experimentally and constitute therefore a direct test for the applicability of MaxEnt inference (given that the structure is in statistical equilibrium, a fact which can be tested by another simple relation (Aboav’s law)).
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Probability Theory and the Associativity Equation, algebra were presented. The associativity equation is an important component of this approach to probability theory, and past tutorials could not devote the space to prove the uniqueness of or solve this functional equation. We demonstrate the unique relation of the associativity equation with rati
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