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In this paper, we propose formulations and algorithms for robust portfolio optimization under both aleatory uncertainty (i.e., natural variability) and epistemic uncertainty (i.e., imprecise probabilistic information) arising from interval data. Epistemic uncertainty is represented using two...
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uncertainty. By using duality theory, we show that the robust portfolio selection problem via learning with a mixture model can be …
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