Large scale, computationally expensive simulation models pose a particular challenge when it comes to estimating their … parameters from empirical data. Most simulation models do not possess closed form expressions for their likelihood function …

Large scale, computationally expensive simulation models pose a particular challenge when it comes to estimating their … parameters from empirical data. Most simulation models do not possess closed form expressions for their likelihood function …

We propose a general protocol for calibration and validation of complex simulation models by an approach based on …

Computational simulation models are widely used in the field of agricultural economics for a variety of tasks … growing complexity together with the implicit nature of the simulation models, on the one hand, still lead to high … simulation models in many other aspects such as integration into other research frameworks like policy optimization coupled with …

financial condition: the amount of profit, revenue, assets, and equity. The constructed simulation models are implemented in the …

financial condition: the amount of profit, revenue, assets, and equity. The constructed simulation models are implemented in the …