期刊
JOURNAL OF CHEMICAL PHYSICS
卷 133, 期 17, 页码 -出版社
AMER INST PHYSICS
DOI: 10.1063/1.3493460
关键词
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资金
- California Institute of Technology [1021080890]
- National Institute of General Medical Sciences [R01GM078992]
- National Institute of Biomedical Imaging and Bioengineering [82-1083250, R01EB007511]
- University of California at Santa Barbara [054281A20]
- National Institutes of Health
- DOE [DEFG02-04ER25621]
- NSF IGERT [DG02-21715]
- Institute for Collaborative Biotechnologies, U.S. Army Research Office [DFR3A-8-447850-23002]
The weighted stochastic simulation algorithm (wSSA) was developed by Kuwahara and Mura [J. Chem. Phys. 129, 165101 (2008)] to efficiently estimate the probabilities of rare events in discrete stochastic systems. The wSSA uses importance sampling to enhance the statistical accuracy in the estimation of the probability of the rare event. The original algorithm biases the reaction selection step with a fixed importance sampling parameter. In this paper, we introduce a novel method where the biasing parameter is state-dependent. The new method features improved accuracy, efficiency, and robustness. (C) 2010 American Institute of Physics. [doi: 10.1063/1.3493460]
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