The score function approach for sensitivity analysis of computer simulation models
Mathematics and Computers in Simulation
Uniformization and hybrid simulation/analytic models of renewal processes
Operations Research
Queueing Systems: Theory and Applications
Likelilood ratio gradient estimation: an overview
WSC '87 Proceedings of the 19th conference on Winter simulation
Brief paper: Infinitesimal and finite perturbation analysis for queueing networks
Automatica (Journal of IFAC)
Decomposition of random variables with bounded hazard rates
Operations Research Letters
Using a standard clock technique for efficient simulation
Operations Research Letters
Hi-index | 0.98 |
This paper proposes a single sample path-based sensitivity estimation method for discrete event systems. The method employs two major techniques: uniformization and importance sampling. By uniformization, steady-state performance measures can be estimated via the transition matrix of the embedded Markov chain in the uniformized process. The sensitivity of a transition matrix is obtained by applying importance sampling to an ensemble average of sample paths. The algorithm developed for this method is easy to be implemented; the method applies to more systems than infinitesimal perturbation analysis.