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Simulation-based estimators achieve unprecedented accuracy in modeling complex systems.
The article shows that using simulation-based estimators with non-parametric density estimators can give accurate results in statistical modeling. When the model is correct, the estimated variance-covariance matches the theoretical limit. This is based on the convergence rates and a theorem for non-parametric estimators.
