State-dependent biasing method for importance sampling in the weighted stochastic simulation algorithm
نویسندگان
چکیده
منابع مشابه
State-dependent biasing method for importance sampling in the weighted stochastic simulation algorithm.
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 w...
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In recent years there has been substantial growth in the development of algorithms for characterizing rare events in stochastic biochemical systems. Two such algorithms, the state-dependent weighted stochastic simulation algorithm (swSSA) and the doubly weighted SSA (dwSSA) are extensions of the weighted SSA (wSSA) by H. Kuwahara and I. Mura [J. Chem. Phys. 129, 165101 (2008)]. The swSSA substa...
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ژورنال
عنوان ژورنال: The Journal of Chemical Physics
سال: 2010
ISSN: 0021-9606,1089-7690
DOI: 10.1063/1.3493460