Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators
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DOI: 10.1186/s12859-021-04255-9
Abstract: Background Approximate Bayesian Computation (ABC) has become a key tool for calibrating the parameters of discrete stochastic biochemical models. For higher dimensional models and data, its performance is strongly dependent on having a representative set… read more here.
Keywords: approximate simulators; discrete stochastic; summary statistics; regression based ... See more keywords