https://orcid.org/0000-0002-0083-5345
References
- Barton, R.R., Chick, S.E., Cheng, R.C.H., Henderson, S.G., Law, A.M., Schmeiser, B.W., Leemis, L.M., Schruben, L.W. and Wilson, J.R. (2000) Panel discussion on current issues in input modeling, in Proceedings of the 2002 Winter Simulation Conference., IEEE Press, Piscataway, NJ, pp. 353–369.
- Barton, R.R., Nelson, B.L. and Xie, W. (2014) Quantifying input uncertainty via simulation confidence intervals. INFORMS Journal on Computing, 26(1), 74–87.
- Burt, J.M. and Garman, M.B. (1971) Conditional Monte Carlo: A simulation technique for stochastic network analysis. Management Science, 18(3), 207–217.
- Fu, M.C. (2008) What you should know about simulation and derivatives. Naval Research Logistics (NRL), 55(8), 723–736.
- Fu, M.C. (2015) Stochastic gradient estimation, in Handbook of Simulation Optimization, Volume 216 of International Series in Operations Research & Management Science. Springer, New York, pp. 105–147.
- Hong, L.J. (2009) Estimating quantile sensitivities. Operations Research, 57(1), 118–130.
- Hopp, W.J. and Spearman, M.L. (2011) Factory Physics, Waveland Press, Long Grove, IL.
- Jiang, G. and Fu, M.C. (2015) On estimating quantile sensitivities via infinitesimal perturbation analysis. Operations Research, 63(2), 435–441.
- Jiang, W.X., Nelson, B.L. and Hong, L.J. (2019) Estimating sensitivity to input model variance, in Proceedings of the 2019 Winter Simulation Conference, IEEE Press, Piscataway, NJ, pp. 3705–3716.
- Jiang, X., Biller, B., Box, J. and Nelson, B.L. (2021) Simulation sensitivity analysis for clinical trial enrollment planning, in Proceedings of the 2021 Winter Simulation. Conference. IEEE Press, Piscataway, NJ.
- Lam, H. (2016) Advanced tutorial: Input uncertainty and robust analysis in stochastic simulation, in Proceedings of the 2016 Winter Simulation Conference., IEEE Press, Piscataway, NJ, pp. 178–192.
- L’Ecuyer, P. (1990) A unified view of the IPA, SF, and LR gradient estimation techniques. Management Science, 36(11), 1364–1383.
- Robinson, S. (2014) Simulation: The Practice of Model Development and Use. Palgrave Macmillan, London, UK.
- Saltelli, A., Chan, K. and Scott, E.M. (2000) Sensitivity Analysis. John Wiley & Sons, New York, NY.
- Schoemig, A.K. (1999) On the corrupting influence of variability in semiconductor manufacturing, in Proceedings of the 1999 Winter Simulation Conference, IEEE Press, Piscataway, NJ, pp. 837–842.
- Song, E., Nelson, B.L. and Pegden, C.D. (2014) Advanced tutorial: Input uncertainty quantification, in Proceedings of the 2014 Winter Simulation Conference, IEEE Press, Piscataway, NJ, pp. 162–176.
- Wieland, J.R. and Schmeiser, B.W. (2006) Stochastic gradient estimation using a single design point, in Proceedings of the 2006 Winter Simulation Conference, IEEE Press, Piscataway, NJ, pp. 390–397.