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When simulating a complex stochastic system, the behavior of output response depends on input parameters estimated from finite real-world data, and the finiteness of data brings input uncertainty into the system.
Uniform and bootstrap resampling of empirical distributions. In Proceedings of the 1993 Winter Conference on Simulation
Russell R Barton and Lee W Schruben. 1993 · 1993
Earlier work this paper cites.
Sensitivity of computer simulation experiments to errors in input data
Russell CH Cheng and Wayne Holloand. 1997 · 1997
Earlier work this paper cites.
Going greek with var
Christophe Rouvinez. 1997 · 1997
Earlier work this paper cites.
Monte Carlo Computation of Conditional Expectation Quantiles
Shing-Hoi Lee. 1998 · 1998
Earlier work this paper cites.
Coherent measures of risk
Philippe Artzner, Freddy Delbaen, Jean-Marc Eber, and David Heath. 1999 · 1999
Earlier work this paper cites.
Variance reduction techniques for estimating value-at-risk
Paul Glasserman, Philip Heidelberger, and Perwez Shahabuddin. 2000 · 2000
Earlier work this paper cites.
Optimization of conditional value-at-risk
R Tyrrell Rockafellar and Stanislav Uryasev. 2000 · 2000
Earlier work this paper cites.
Resampling methods for input modeling. In Proceedings of the 2001 Winter Conference on Simulation
Russell R Barton and Lee W Schruben. 2001 · 2001
Earlier work this paper cites.
Input distribution selection for simulation experiments: accounting for input uncertainty
Stephen E Chick. 2001 · 2001
Earlier work this paper cites.
Input model uncertainty: Why do we care and what should we do about it?. In Proceedings of the 2003 Winter Conference on Simulation
Shane G. Henderson. 2003 · 2003
Earlier work this paper cites.
Accounting for parameter uncertainty in simulation input modeling
Faker Zouaoui and James R Wilson. 2003 · 2003
Cited alongside, same era.
Accounting for input-model and input-parameter uncertainties in simulation
Faker Zouaoui and James R Wilson. 2004 · 2004
Cited alongside, same era.
Estimating the Density of A Conditional Expectation
G. Steckley. 2006 · 2006
Cited alongside, same era.
Approximation Theorems of Mathematical Statistics
Robert J Serfling. 2009 · 2009
Cited alongside, same era.
Stochastic kriging for simulation metamodeling
Bruce Ankenman, Barry L Nelson, and Jeremy Staum. 2010 · 2010
Cited alongside, same era.
Nested simulation in portfolio risk measurement
Michael B Gordy and Sandeep Juneja. 2010 · 2010
Cited alongside, same era.
Efficient risk estimation via nested sequential simulation
Mark Broadie, Yiping Du, and Ciamac C Moallemi. 2011 · 2011
Later among the works it cites.
Efficient nested simulation for estimating the variance of a conditional expectation
Yunpeng Sun, Daniel W Apley, and Jeremy Staum. 2011 · 2011
Later among the works it cites.
Tutorial: input uncertainty in outout analysis. In Proceedings of the 2012 Winter Conference on Simulation
Russell R Barton. 2012 · 2012
Later among the works it cites.
Quantifying input uncertainty via simulation confidence intervals
Russell R Barton, Barry L Nelson, and Wei Xie. 2013 · 2013
Later among the works it cites.
Monte Carlo methods for value-at-risk and conditional value-at-risk: a review
L Jeff Hong, Zhaolin Hu, and Guangwu Liu. 2014 · 2014
Later among the works it cites.
A Bayesian framework for quantifying uncertainty in stochastic simulation
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Stochastic kriging for efficient nested simulation of expected shortfall
Ming Liu and Jeremy Staum. 2010 · 2010
Cited alongside, same era.
Asymptotic representations for importance-sampling estimators of value-at-risk and conditional value-at-risk
Lihua Sun and L Jeff Hong. 2010 · 2010
Cited alongside, same era.
Accounting for parameter uncertainty in large-scale stochastic simulations with correlated inputs
Bahar Biller and Canan G Corlu. 2011 · 2011
Cited alongside, same era.
Wei Xie, Barry L Nelson, and Russell R Barton. 2014 · 2014
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