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- W338585 abstract "Simulation is an interesting alternative to solve Markovian models. However, when compared to analytical and numerical solutions it suffers from a lack of precision in the results due to the very nature of simulation, which is the choice of samples through pseudorandom generation. This paper proposes a different way to simulate Markovian models by using a Bootstrap-based statistical method to minimize the effect of sample choices. The effectiveness of the proposed method, called Bootstrap simulation, is compared to the numerical solution results for a set of examples described using Stochastic Automata Networks modeling formalism." @default.
- W338585 created "2016-06-24" @default.
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- W338585 date "2010-07-11" @default.
- W338585 modified "2023-10-12" @default.
- W338585 title "Simulation of Markovian models using bootstrap method" @default.
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- W338585 doi "https://doi.org/10.5555/1999416.1999489" @default.
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