| Meaningful sensitivities: A new family of simulation sensitivity measures | 0 | 0.34 | 2022 |
| Online Risk Monitoring Using Offline Simulation | 0 | 0.34 | 2020 |
| Revisiting subset selection | 0 | 0.34 | 2020 |
| Metric learning for simulation analytics | 0 | 0.34 | 2020 |
| Evaluation of bi-PASS for parallel simulation optimization | 0 | 0.34 | 2020 |
| Input–Output Uncertainty Comparisons for Discrete Optimization via Simulation | 0 | 0.34 | 2019 |
| Gaussian Markov Random Fields for Discrete Optimization via Simulation: Framework and Algorithms | 0 | 0.34 | 2019 |
| A spline-based method for modelling and generating a nonhomogeneous poisson process | 0 | 0.34 | 2019 |
| Unbiased Metamodeling via likelihood ratios. | 0 | 0.34 | 2018 |
| Better input Modeling via Model averaging. | 0 | 0.34 | 2018 |
| Computational methods for optimization via simulation using gaussian markov random fields | 0 | 0.34 | 2017 |
| Variance and derivative estimation for virtual performance in simulation analytics | 1 | 0.43 | 2017 |
| Simulation-based predictive analytics for dynamic queueing systems | 0 | 0.34 | 2017 |
| Detecting bias due to input modelling in computer simulation. | 0 | 0.34 | 2017 |
| 'Some tactical problems in digital simulation' for the next 10 years. | 11 | 0.72 | 2016 |
| Shapley Effects for Global Sensitivity Analysis: Theory and Computation. | 0 | 0.34 | 2016 |
| A simulation analytics approach to dynamic risk monitoring. | 1 | 0.36 | 2016 |
| Indifference-Zone-Free Selection of the Best | 3 | 0.39 | 2016 |
| Input uncertainty quantification for simulation models with piecewise-constant non-stationary Poisson arrival processes. | 1 | 0.35 | 2016 |
| Simulation: The past 10 years and the next 10 years. | 0 | 0.34 | 2016 |
| Moving Least Squares Regression for High-Dimensional Stochastic Simulation Metamodeling | 0 | 0.34 | 2016 |
| Input uncertainty and indifference-zone ranking & selection. | 2 | 0.37 | 2015 |
| Fully Sequential Procedures for Large-Scale Ranking-and-Selection Problems in Parallel Computing Environments | 19 | 0.84 | 2015 |
| A Bayesian Framework for Quantifying Uncertainty in Stochastic Simulation | 22 | 1.32 | 2014 |
| Statistical uncertainty analysis for stochastic simulation with dependent input models | 5 | 0.49 | 2014 |
| Simulation optimization: a panel on the state of the art in research and practice. | 7 | 0.49 | 2014 |
| Bootstrap ranking & selection revisited | 1 | 0.41 | 2014 |
| Quantifying Input Uncertainty via Simulation Confidence Intervals | 12 | 0.75 | 2014 |
| Input uncertainty quantification: advanced tutorial. | 0 | 0.34 | 2014 |
| The simulation Curmudgeon. | 0 | 0.34 | 2013 |
| Enhancing Stochastic Kriging Metamodels with Gradient Estimators. | 16 | 0.79 | 2013 |
| Modeling and simulation grand challenges: An OR/MS perspective | 6 | 0.55 | 2013 |
| An Adaptive Hyperbox Algorithm for High-Dimensional Discrete Optimization via Simulation Problems | 19 | 0.92 | 2013 |
| Generalized integrated brownian fields for simulation metamodeling. | 5 | 0.51 | 2013 |
| The effects of common random numbers on stochastic kriging metamodels | 28 | 1.41 | 2012 |
| Stochastic kriging for conditional value-at-risk and its sensitivities | 3 | 0.49 | 2012 |
| Moving Least Squares regression for high dimensional simulation metamodeling | 4 | 0.47 | 2012 |
| Relative error stochastic kriging | 1 | 0.36 | 2011 |
| An efficient simulation procedure for point estimation of expected shortfall | 3 | 0.59 | 2010 |
| Common random numbers and stochastic kriging | 6 | 0.86 | 2010 |
| Simulation on demand for pricing many securities | 4 | 0.48 | 2010 |
| Using Simulation Early in the Design of a Fuel Injector Production Line | 6 | 3.22 | 2010 |
| Industrial strength COMPASS: A comprehensive algorithm and software for optimization via simulation | 49 | 2.00 | 2010 |
| Empirical stochastic branch-and-bound for optimization via simulation | 1 | 0.40 | 2010 |
| The influence of correlation functions on stochastic kriging metamodels | 5 | 0.59 | 2010 |
| Speeding up COMPASS for high-dimensional discrete optimization via simulation | 8 | 0.58 | 2010 |
| Improving the Efficiency and Efficacy of Controlled Sequential Bifurcation for Simulation Factor Screening | 11 | 0.80 | 2010 |
| 09181 Abstracts Collection - Sampling-based Optimization in the Presence of Uncertainty. | 0 | 0.34 | 2009 |
| A brief introduction to optimization via simulation | 36 | 1.49 | 2009 |
| 09181 Executive Summary - Sampling-based Optimization in the Presence of Uncertainty. | 0 | 0.34 | 2009 |
