Simulation of Markovian models using bootstrap method
作者： Paulo Fernandes , Afonso Sales , Thais Webber , Ricardo M. Czekster , Dione Taschetto
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摘要: Simulation is an interesting alternative to solve Markovian models. However, when compared analytical and numerical solutions it suffers from a lack of precision in the results due very nature simulation, which choice samples through pseudorandom generation. This paper proposes different way simulate models by using Bootstrap-based statistical method minimize effect sample choices. The effectiveness proposed method, called Bootstrap solution for set examples described Stochastic Automata Networks modeling formalism.
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sci-hub.st 参考文章(54)
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