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On the information-based complexity of stochastic programming
Tavares, Gabriela; Parpas, Panos - In: Operations research letters 41 (2013) 6, pp. 622-626
Persistent link: https://www.econbiz.de/10010236083
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An approximate dynamic programming framework for modeling global climate policy under decision-dependent uncertainty
Webster, Mort; Santen, Nidhi; Parpas, Panos - In: Computational Management Science : CMS 9 (2012) 3, pp. 339-362
Persistent link: https://www.econbiz.de/10009582634
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Dynamic mean-variance portfolio analysis under model risk
Kuhn, Daniel; Parpas, Panos; Rustem, Berç; Fonseca, Raquel - In: The journal of computational finance 12 (2009) 4, pp. 91-115
Persistent link: https://www.econbiz.de/10009534610
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"Dice"-sion–making under uncertainty : when can a random decision reduce risk?
Delage, Erick; Kuhn, Daniel; Wiesemann, Wolfram - In: Management science : journal of the Institute for … 65 (2019) 7, pp. 3282-3301
Persistent link: https://www.econbiz.de/10012039992
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The decision rule approach to optimization under uncertainty : methodology and applications
Georghiou, Angelos; Kuhn, Daniel; Wiesemann, Wolfram - In: Computational Management Science : CMS 16 (2019) 4, pp. 545-576
Persistent link: https://www.econbiz.de/10012126678