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Abstract. We propose to study quantile-oriented sensitivity analysis (QOSA) indices and show some of their theoretical properties. These have a number of shortcomings when dealing with both independent and dependent inputs, which leads us to define new generic indices based on the Shapley values named goal-oriented Shapley effects (GOSE). In particular, we focus on quantile-oriented Shapley effects (QOSE) and subsequently perform several calculations of QOSA indices and QOSE in order to better understand the behavior and the respective interest of each.
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