Data perturbations in stochastic generalized equations: statistical robustness in static and sample average approximated models

Sample average approximation which is also known as Monte Carlo method has been widely used for solving stochastic programming and equilibrium problems. In a data-driven environment, samples are often drawn from empirical data and hence may be potentially contaminated. Consequently it is legitimate...

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Veröffentlicht in:Mathematical programming Jg. 202; H. 1-2; S. 135 - 168
Hauptverfasser: Guo, Shaoyan, Xu, Huifu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2023
Springer
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ISSN:0025-5610, 1436-4646
Online-Zugang:Volltext
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