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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...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
American Institute of Physics
2010
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3188645/ https://ncbi.nlm.nih.gov/pubmed/21054005 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1063/1.3493460 |
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