Calibrating agent-based models with linear regressions
In this paper, we introduce a simple way to parametrize simulation models by using regularized linear regression. Regressions bypass the three major challenges of calibrating by minimization: selecting the summary statistics, defining the distance function and minimizing it numerically. By substitut...
| Main Authors: | , , |
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| Format: | Journal article |
| Published: |
SimSoc Consortium
2020
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