IDEAS home Printed from https://ideas.repec.org/r/tiu/tiutis/e007110c-e224-484d-92f0-caae6a13f3e4.html

Kriging for Interpolation in Random Simulation

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Zhou, Jin & Li, Jie, 2022. "An enhanced method for improving the accuracy of small failure probability of structures," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
  2. Gotherwal, Deepesh & Ranjan, Pritam & Lekivetz, Ryan, 2026. "Comprehensive Review of Various Verification and Validation Techniques for Business Simulation Models," EconStor Preprints 339750, ZBW - Leibniz Information Centre for Economics.
  3. Bhupinder Singh Saini & Michael Emmerich & Atanu Mazumdar & Bekir Afsar & Babooshka Shavazipour & Kaisa Miettinen, 2022. "Optimistic NAUTILUS navigator for multiobjective optimization with costly function evaluations," Journal of Global Optimization, Springer, vol. 83(4), pages 865-889, August.
  4. Nariman Fouladinejad & Nima Fouladinejad & Mohamad Kasim Abdul Jalil & Jamaludin Mohd Taib, 2017. "Decomposition-Assisted Computational Technique Based on Surrogate Modeling for Real-Time Simulations," Complexity, Hindawi, vol. 2017, pages 1-14, March.
  5. Peter Salemi & Jeremy Staum & Barry L. Nelson, 2019. "Generalized Integrated Brownian Fields for Simulation Metamodeling," Operations Research, INFORMS, vol. 67(3), pages 874-891, May.
  6. Park, BeomJun & Hur, Jin, 2018. "Spatial prediction of renewable energy resources for reinforcing and expanding power grids," Energy, Elsevier, vol. 164(C), pages 757-772.
  7. Alexanderian, Alen & Gremaud, Pierre A. & Smith, Ralph C., 2020. "Variance-based sensitivity analysis for time-dependent processes," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
  8. Guangxin Jiang & L. Jeff Hong & Haihui Shen, 2024. "Real-Time Derivative Pricing and Hedging with Consistent Metamodels," INFORMS Journal on Computing, INFORMS, vol. 36(5), pages 1168-1189, September.
  9. J P C Kleijnen & W C M van Beers, 2004. "Application-driven sequential designs for simulation experiments: Kriging metamodelling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(8), pages 876-883, August.
  10. Hernandez, Andres F. & Grover, Martha A., 2013. "Error estimation properties of Gaussian process models in stochastic simulations," European Journal of Operational Research, Elsevier, vol. 228(1), pages 131-140.
  11. van Beers, Wim C.M. & Kleijnen, Jack P.C., 2008. "Customized sequential designs for random simulation experiments: Kriging metamodeling and bootstrapping," European Journal of Operational Research, Elsevier, vol. 186(3), pages 1099-1113, May.
  12. Kleijnen, Jack P.C. & Deflandre, David, 2006. "Validation of regression metamodels in simulation: Bootstrap approach," European Journal of Operational Research, Elsevier, vol. 170(1), pages 120-131, April.
  13. Kleijnen, Jack P.C., 2009. "Kriging metamodeling in simulation: A review," European Journal of Operational Research, Elsevier, vol. 192(3), pages 707-716, February.
  14. Bruce Ankenman & Barry L. Nelson & Jeremy Staum, 2010. "Stochastic Kriging for Simulation Metamodeling," Operations Research, INFORMS, vol. 58(2), pages 371-382, April.
  15. Zhanjun Xu & Yuan Zhang & Jason Yang & Fenwu Liu & Rutian Bi & Hongfen Zhu & Chunjuan Lv & Jian Yu, 2019. "Effect of Underground Coal Mining on the Regional Soil Organic Carbon Pool in Farmland in a Mining Subsidence Area," Sustainability, MDPI, vol. 11(18), pages 1-19, September.
  16. Bettonvil, Bert & del Castillo, Enrique & Kleijnen, Jack P.C., 2009. "Statistical testing of optimality conditions in multiresponse simulation-based optimization," European Journal of Operational Research, Elsevier, vol. 199(2), pages 448-458, December.
  17. Kleijnen, J.P.C., 2006. "Regression Models and Experimental Designs : A Tutorial for Simulation Analaysts," Other publications TiSEM 7b8ecddb-f49e-4b80-865b-a, Tilburg University, School of Economics and Management.
  18. Xuefei Lu & Alessandro Rudi & Emanuele Borgonovo & Lorenzo Rosasco, 2020. "Faster Kriging: Facing High-Dimensional Simulators," Operations Research, INFORMS, vol. 68(1), pages 233-249, January.
  19. Dellino, G. & Kleijnen, Jack P.C. & Meloni, C., 2009. "Robust Optimization in Simulation : Taguchi and Krige Combined," Other publications TiSEM d919b893-db2b-4d97-a392-4, Tilburg University, School of Economics and Management.
  20. M I Reis dos Santos & P M Reis dos Santos, 2011. "Construction and validation of distribution-based regression simulation metamodels," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1376-1384, July.
  21. Xin Yun & L. Jeff Hong & Guangxin Jiang & Shouyang Wang, 2019. "On gamma estimation via matrix kriging," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(5), pages 393-410, August.
  22. Gabriella Dellino & Jack P. C. Kleijnen & Carlo Meloni, 2012. "Robust Optimization in Simulation: Taguchi and Krige Combined," INFORMS Journal on Computing, INFORMS, vol. 24(3), pages 471-484, August.
  23. Michael Ludkovski, 2015. "Kriging Metamodels and Experimental Design for Bermudan Option Pricing," Papers 1509.02179, arXiv.org, revised Oct 2016.
  24. Hongxing Li & Charlotte D. Smith & Li Wang & Zheng Li & Chuanlong Xiong & Rong Zhang, 2019. "Combining Spatial Analysis and a Drinking Water Quality Index to Evaluate Monitoring Data," IJERPH, MDPI, vol. 16(3), pages 1-9, January.
  25. Feng Yang & Bruce Ankenman & Barry L. Nelson, 2007. "Efficient generation of cycle time‐throughput curves through simulation and metamodeling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(1), pages 78-93, February.
  26. Kleijnen, J.P.C., 2009. "Sensitivity Analysis of Simulation Models," Other publications TiSEM 2016cf94-0329-4aa0-a4ea-4, Tilburg University, School of Economics and Management.
  27. Kleijnen, Jack P. C. & van Beers, Wim C. M., 2005. "Robustness of Kriging when interpolating in random simulation with heterogeneous variances: Some experiments," European Journal of Operational Research, Elsevier, vol. 165(3), pages 826-834, September.
  28. Simu Akter & Kazi Rifat Ahmed, 2021. "Insight and explore farming adaptation measures to support sustainable development goal 2 in the southwest coastal region of Bangladesh," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4358-4384, March.
  29. Jack P. C. Kleijnen & Susan M. Sanchez & Thomas W. Lucas & Thomas M. Cioppa, 2005. "State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments," INFORMS Journal on Computing, INFORMS, vol. 17(3), pages 263-289, August.
  30. Amir Parnianifard & Ali Zemouche & Ratchatin Chancharoen & Muhammad Ali Imran & Lunchakorn Wuttisittikulkij, 2020. "Robust optimal design of FOPID controller for five bar linkage robot in a Cyber-Physical System: A new simulation-optimization approach," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-35, November.
  31. Rojas Gonzalez, Sebastian & Jalali, Hamed & Van Nieuwenhuyse, Inneke, 2020. "A multiobjective stochastic simulation optimization algorithm," European Journal of Operational Research, Elsevier, vol. 284(1), pages 212-226.
  32. Chen, Jianbing & Liu, Zenghui & Song, Yupeng & Peng, Yongbo & Li, Jie, 2022. "Experimental study on dynamic responses of a spar-type floating offshore wind turbine," Renewable Energy, Elsevier, vol. 196(C), pages 560-578.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.