Robustness of perturbation analysis estimators for queueing systems with unknown distributions
Journal of Optimization Theory and Applications
The asymptotic efficiency of simulation estimators
Operations Research
Queueing Systems: Theory and Applications
Maximal coupling and rare perturbation sensitivity analysis
Queueing Systems: Theory and Applications
Stationary waiting time derivatives
Queueing Systems: Theory and Applications
Simulation
SIGMETRICS '83 Proceedings of the 1983 ACM SIGMETRICS conference on Measurement and modeling of computer systems
Stochastic Learning and Optimization: A Sensitivity-Based Approach (International Series on Discrete Event Dynamic Systems)
Measure-Valued Differentiation for Stationary Markov Chains
Mathematics of Operations Research
Gradient estimation for discrete-event systems by measure-valued differentiation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Strong points of weak convergence: a study using RPA gradient estimation for automatic learning
Automatica (Journal of IFAC)
Gradient estimation for a class of systems with bulk services: A problem in public transportation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Quantile Sensitivity Estimation
NET-COOP '09 Proceedings of the 3rd Euro-NF Conference on Network Control and Optimization
Weak Differentiability of Product Measures
Mathematics of Operations Research
Perturbation analysis of waiting times in the G/G/1 queue
Discrete Event Dynamic Systems
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We study gradient estimation for waiting times in the G/G/1 queue. We propose a new estimator based on a synthesis of perturbation analysis and weak differentiation. More specifically, we combine the perturbation propagation rules from perturbation analysis with perturbation generation rules from weak differentiation. This leads to an on-line phantom estimator. Numerical experiments show that this estimator has smaller work normalized variance than IPA.