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# Quantile Maximization in Decision Theory

@inproceedings{Rostek2007QuantileMI, title={Quantile Maximization in Decision Theory}, author={Marzena Rostek}, year={2007} }

- Published 2007

This paper introduces a model of preferences, in which, given beliefs about uncertain outcomes, an individual evaluates an action by a quantile of the induced distribution. The choice rule of Quantile Maximization unifies maxmin and maxmax as maximizing the lowest and the highest quantiles of beliefs distributions, respectively, and offers a family of less extreme preferences. Taking preferences over acts as a primitive, we axiomatize Quantile Maximization in a Savage setting. Our… CONTINUE READING

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