Maximum likelihood estimation of the bounded confidence model parameters: the confidence bound is asymptotically unbiased, the convergence rate is persistently biased, and joint estimation has identifiability problems.
No free lunch when estimating simulation parameters.Journal of Artificial Societies and Social Simulation, 24(2), 2021
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Bias and Identifiability in the Bounded Confidence Model
Maximum likelihood estimation of the bounded confidence model parameters: the confidence bound is asymptotically unbiased, the convergence rate is persistently biased, and joint estimation has identifiability problems.