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Empirické procesy ve stochastickém programování
 Kaňková, Vlasta ; Houda, Michal
Usually, it is very complicated to investigate and to solve optimization problems depending on a probability measure. To this end a stability of them, considers with respect to a prabability measure space, has been discused in the stochastic programming literature many times. The paper is focus on the investigation of the stability with respect to the Wasserstein and to the Komolgorov metrics with "underlying" L_1 space. Moreover, we applay achieved stability results to empirical estimates.
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