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On the Existence and Characterization of the Maxent Distribution Under General Moment Inequality Constraints

机译:一般矩不等式约束下Maxent分布的存在与刻画

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摘要

A broad set of sufficient conditions that guarantees the existence of the maximum entropy (maxent) distribution consistent with specified bounds on certain generalized moments is derived. Most results in the literature are either focused on the minimum cross-entropy distribution or apply only to distributions with a bounded-volume support or address only equality constraints. The results of this work hold for general moment inequality constraints for probability distributions with possibly unbounded support, and the technical conditions are explicitly on the underlying generalized moment functions. An analytical characterization of the maxent distribution is also derived using results from the theory of constrained optimization in infinite-dimensional normed linear spaces. Several auxiliary results of independent interest pertaining to certain properties of convex coercive functions are also presented.
机译:得出了一系列广泛的充分条件,这些条件可以保证与某些广义矩上的指定范围一致的最大熵(maxent)分布的存在。文献中的大多数结果要么集中在最小交叉熵分布上,要么仅适用于具有有限体积支持的分布,或者仅解决相等性约束。这项工作的结果为具有可能无穷大支持的概率分布提供了一般矩不等式约束,并且技术条件明确地位于基础广义矩函数上。利用无穷维范数线性空间中约束优化理论的结果,也得出了maxent分布的分析特征。还提出了一些与凸矫顽函数的某些性质有关的具有独立利益的辅助结果。

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