Technical Note—Bootstrap-based Budget Allocation for Nested Simulation
Published Online:23 Feb 2021https://doi.org/10.1287/opre.2020.2071
References
- (2011) Efficient risk estimation via nested sequential simulation. Management Sci. 57(6):1172–1194.Link, Google Scholar
- (2015) Risk estimation via regression. Oper. Res. 63(5):1077–1097.Link, Google Scholar
- (2003) Order Statistics (John Wiley & Sons, New Jersey).Crossref, Google Scholar
- (2012) Pathwise optimization for optimal stopping problems. Management Sci. 58(12):2292–2308.Link, Google Scholar
- (1994) An Introduction to the Bootstrap. (CRC Press, New York).Crossref, Google Scholar
- (2017) Green simulation: Reusing the output of repeated experiments. ACM Trans. Model. Comput. Simul. 27(4):1–28.Crossref, Google Scholar
- (2017) MCMC design-based non-parametric regression for rare event: Application to nested risk computation. Monte Carlo Methods Appl. 23(1):21–42.Crossref, Google Scholar
- (2010) Nested simulation in portfolio risk measurement. Management Sci. 56(10):1833–1848.Link, Google Scholar
- (2017) Kernel smoothing for nested estimation with application to portfolio risk measurement. Oper. Res. 65(3):657–673.Link, Google Scholar
- (2010) A confidence interval procedure for expected shortfall risk measurement via two-level simulation. Oper. Res. 58(5):1481–1490.Link, Google Scholar
- (1998) Monte Carlo computation of conditional expectation quantiles. Unpublished doctoral dissertation, Stanford University, Stanford, CA.Google Scholar
- (2003) Computing the distribution function of a conditional expectation via Monte Carlo: Discrete conditioning spaces. ACM Trans. Model. Comput. Simul. 13(3):238–258.Crossref, Google Scholar
- (2010) An efficient simulation procedure for point estimation of expected shortfall. Proc. 2010 Winter Simulation Conf., (IEEE, Baltimore, MD), 2821–2831.Google Scholar
- (2010) Stochastic kriging for efficient nested simulation of expected shortfall. J. Risk 12(3):3–27.Crossref, Google Scholar
- (2012) The Jackknife and Bootstrap (Springer Science & Business Media, New York).Google Scholar
- (2014) Lectures on Stochastic Programming: Modeling and Theory, vol. 16 (SIAM, Philadelphia).Crossref, Google Scholar
- (2003) A kernel approach to estimating the density of a conditional expectation. Proc. 2003 Winter Simulation Conf., 383–391.Google Scholar
- (2011) Efficient nested simulation for estimating the variance of a conditional expectation. Oper. Res. 59(4):998–1007.Link, Google Scholar

