Efficient Estimation of the Mean Hitting Time to a set of A Regenerative System
Document Type
Conference Proceeding
Publication Date
12-1-2019
Abstract
We consider using simulation to estimate the mean hitting time to a set of states in a regenerative process. A classical simulation estimator is based on a ratio representation of the mean hitting time, using crude simulation to estimate the numerator and importance sampling to handle the denominator, which corresponds to a rare event. But the estimator of the numerator can be inefficient when paths to the set are very long. We thus introduce a new estimator that expresses the numerator as a sum of two terms to be estimated separately. We provide theoretical analysis of a simple example showing that the new estimator can have much better behavior than the classical estimator. Numerical results further illustrate this.
Identifier
85081133638 (Scopus)
ISBN
[9781728132839]
Publication Title
Proceedings Winter Simulation Conference
External Full Text Location
https://doi.org/10.1109/WSC40007.2019.9004743
ISSN
08917736
First Page
416
Last Page
427
Volume
2019-December
Grant
1537322
Fund Ref
National Science Foundation
Recommended Citation
Nakayama, Marvin K. and Tuffin, Bruno, "Efficient Estimation of the Mean Hitting Time to a set of A Regenerative System" (2019). Faculty Publications. 7170.
https://digitalcommons.njit.edu/fac_pubs/7170
