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Optimization of Convex Risk Functions

Andrzej Ruszczyński, Alexander Shapiro

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Source: Crossref

Published: Aug 1, 2006

DOI: 10.1287/moor.1050.0186

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Source abstract

We consider optimization problems involving convex risk functions. By employing techniques of convex analysis and optimization theory in vector spaces of measurable functions, we develop new representation theorems for risk models, and optimality and duality theory for problems with convex risk functions.

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