Article

Efficient inference for agent-based models of real-world phenomena

2021-10-05

Abstract excerpt

The modelling of many real-world problems relies on computationally heavy simulations. Since statistical inference rests on repeated simulations to sample the parameter space, the high computational expense of these simulations can become a stumbling block. In this paper, we compare two ways to mitigate this issue based on machine learning methods. One approach is to construct lightweight surrogate models to subst...

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Literature Corpus work: f355ee78-3cc7-5eb0-b26a-13e549b1e8a1
DOI: 10.1101/2021.10.04.462980

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