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Simulated models suffer intrinsically from validation and comparison problems. The choice of a suitable indicator quantifying the distance between the model and the data is pivotal to model selection. However, how to validate and discriminate between alternative models is still an open problem...
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) comparison between artificial and real-world data; (ii) calibration and estimation of model parameters; and (iii) parameter space …
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analysis, calibration and upscaling of agent-based models, as well to mimic their prediction for different scenarios. This …
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methodology for such large-scale simulation models. We introduce an alternative "large-scale" empirical validation approach, and …Despite recent advances in bringing agent-based models (ABMs) to the data, the estimation or calibration of model … the method of simulated moments (MSM), require in-the-loop simulation of new data, which may not be feasible for such …
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In this paper we introduce a calibration procedure for validating of agent based models. Starting from the well …-known financial model of Brock and Hommes 1998, we show how an appropriate calibration enables the model to describe price time series …. We formulate the calibration problem as a nonlinear constrained optimization that can be solved numerically via a …
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