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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Bibliographic Details
Published in:Mathematical programming Vol. 202; no. 1-2; pp. 135 - 168
Main Authors: Guo, Shaoyan, Xu, Huifu
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2023
Springer
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ISSN:0025-5610, 1436-4646
Online Access:Get full text
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