HIGHLIGHTS
- who: Richard M. Jiang from the Department of Computer, USA have published the Article: Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators, in the Journal: (JOURNAL)
- what: The authors demonstrate the usefulness and robustness of the method with four different experiments. The authors provide a novel algorithm for accelerating the construction of for stochastic biochemical systems. The authors propose to use data driven machine_learning models to train approximate summary statistics for discrete stochastic models using a mix of samples from an approximate simulator and the SSA. In the following, the authors . . .
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