Gradient-based simulation optimization under probability constraints
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Cited by:
- Chang, Kuo-Hao, 2015. "A direct search method for unconstrained quantile-based simulation optimization," European Journal of Operational Research, Elsevier, vol. 246(2), pages 487-495.
- Chang, Kuo-Hao, 2012. "Stochastic Nelder–Mead simplex method – A new globally convergent direct search method for simulation optimization," European Journal of Operational Research, Elsevier, vol. 220(3), pages 684-694.
- Frazier, David T. & Oka, Tatsushi & Zhu, Dan, 2019.
"Indirect inference with a non-smooth criterion function,"
Journal of Econometrics, Elsevier, vol. 212(2), pages 623-645.
- David T. Frazier & Tatsushi Oka & Dan Zhu, 2017. "Indirect Inference with a Non-Smooth Criterion Function," Papers 1708.02365, arXiv.org, revised Jul 2019.
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Keywords
Probability constraints Stochastic gradient algorithm Stochastic approximation;Statistics
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