A Markov Embedding Approximation for a Stochastic Population Model with Exogenous Disturbances
作者： Bruce P. Ayati , Claudia Neuhauser
关键词: Population 、 Population model 、 Embedding 、 Markov property 、 Stochastic simulation 、 Markov chain 、 Markov model 、 Mathematics 、 Probability distribution 、 Mathematical optimization
摘要: We present and study an approximation scheme for the mean of a stochastic simulation that models population subject to nonlinear birth exogenous disturbances. use information from probability distribution disturbance times construct method improves upon mean-field approximation. show through two example systems effectiveness Markov embedding discuss contexts in which it is appropriate method.
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