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This paper describes a simulation-based technique for estimating the parameters of a high-dimensional stochastic model. The central idea is to find parameters which make the distribution of simulated multidimensional points Y identical to the distribution of the multidimensional points X observed in experiments. To do this, we minimize a criterion based on the heuristic that the univariate distribution...
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