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Jaynes (1957a,b) formulates the maximum entropy (ME) principle as the search for a distribution maximizing a given … entropy under some given constraints. Kapur (1984) and Kesavan & Kapur (1989) introduce the generalized maximum entropy … principle as the derivation of an entropy for which a given distribution has the maximum entropy property under some given …
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We propose probability and density forecast combination methods that are defined using the entropy regularized … how the entropy regularization can improve the quality of predictive density relative to its unregularized counterpart …
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conditional and mixture densities as view generators. We use entropy pooling to re-weight the historical distribution to derive …
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We argue that the complex interactions of competitive heterogeneous firms lead to a statistical equilibrium distribution of firms' profit rates, which turns out to be an exponential power (or Subbotin) distribution. Moreover, we construct a diffusion process that has the Subbotin distribution as...
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