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Hellinger integrals of gaussian processes with independent increments
Abstract:The aim of this paper is to calculate the Hellinger integral of the distribution laws of Gaussian processes with independent increments. As an application, necessary and sufficient conditions for the equivalence of the distribution laws are derived. Furthermore estimations for the variational distance of the distribution laws are given.
Keywords:Dynamic programming  stochastic ordering  stochastic dominance  optimal policy  partial information  queues  routing  optimal routing  bang-bang control  bang-bang policy  threshold policy  submodularity  convexity
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