| Dynamic Sampling Allocation Under Finite Simulation Budget for Feasibility Determination | 0 | 0.34 | 2022 |
| A New Likelihood Ratio Method for Training Artificial Neural Networks | 0 | 0.34 | 2022 |
| Computing Sensitivities for Distortion Risk Measures | 0 | 0.34 | 2021 |
| Gradient-Based Simulation Optimization for Economic Design of Control Charts. | 0 | 0.34 | 2021 |
| Efficient Learning for Selecting Important Nodes in Random Network | 0 | 0.34 | 2021 |
| Efficient Sampling Allocation Procedures For Optimal Quantile Selection | 0 | 0.34 | 2021 |
| Technical Note—Central Limit Theorems for Estimated Functions at Estimated Points | 0 | 0.34 | 2020 |
| Stochastic Control Framework for Determining Feasible Alternatives in Sampling Allocation | 0 | 0.34 | 2020 |
| Context-dependent ranking and selection under a bayesian framework | 0 | 0.34 | 2020 |
| Dynamic Sampling Allocation For Selecting A Good Enough Alternative | 0 | 0.34 | 2020 |
| Sequential sampling for a ranking and selection problem with exponential sampling distributions | 0 | 0.34 | 2020 |
| Maximum Likelihood Estimation by Monte Carlo Simulation: Toward Data-Driven Stochastic Modeling. | 1 | 0.43 | 2020 |
| Training Artificial Neural Networks By Generalized Likelihood Ratio Method: An Effective Way To Improve Robustness | 0 | 0.34 | 2020 |
| Confidence intervals and regions for quantiles using conditional Monte Carlo and generalized likelihood ratios | 0 | 0.34 | 2020 |
| On the Variance of Single-Run Unbiased Stochastic Derivative Estimators | 0 | 0.34 | 2020 |
| Asynchronous value iteration for markov decision processes with continuous state spaces | 0 | 0.34 | 2020 |
| Estimating Quantile Sensitivity for Financial Models with Correlations and Jumps | 0 | 0.34 | 2019 |
| Efficient Simulation Sampling Allocation Using Multi-Fidelity Models | 0 | 0.34 | 2019 |
| A Coordinate Optimization Approach for Concurrent Design | 0 | 0.34 | 2019 |
| From Data to Stochastic Modeling and Decision Making: What Can We Do Better? | 0 | 0.34 | 2019 |
| Efficient Sampling for Selecting Important Nodes in Random Network. | 0 | 0.34 | 2019 |
| Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve Adversarial Defensiveness. | 0 | 0.34 | 2019 |
| Gradient-Based Myopic Allocation Policy: An Efficient Sampling Procedure in a Low-Confidence Scenario. | 1 | 0.35 | 2018 |
| A New Unbiased Stochastic Derivative Estimator for Discontinuous Sample Performances with Structural Parameters | 2 | 0.37 | 2018 |
| Ranking and Selection as Stochastic Control. | 3 | 0.41 | 2018 |
| A Review of Static and Dynamic Optimization for Ranking and Selection. | 0 | 0.34 | 2018 |
| Applications of generalized likelihood ratio method to distribution sensitivities and steady-state simulation. | 0 | 0.34 | 2018 |
| On the asymptotic analysis of quantile sensitivity estimation by Monte Carlo simulation | 1 | 0.35 | 2017 |
| An optimization approach for team coordination through information sharing | 1 | 0.38 | 2017 |
| Myopic Allocation Policy With Asymptotically Optimal Sampling Rate. | 4 | 0.41 | 2017 |
| Dynamic Sampling Allocation And Design Selection | 7 | 0.50 | 2016 |
| On the regularity conditions and applications for generalized likelihood ratio method. | 1 | 0.34 | 2016 |
| Non-monotonicity of probability of correct selection. | 2 | 0.39 | 2015 |
| A dynamic framework for statistical selection problems. | 1 | 0.37 | 2013 |
| Efficient Simulation Resource Sharing and Allocation for Selecting the Best. | 8 | 0.52 | 2013 |
