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Monte Carlo simulations

Monte Carlo methods can be used to investigate properties of the distributions of random variables. Here we will study the properties of the derived maximum likelihood estimators in two interesting cases: 1) using distances drawn directly from the proposed distribution (equation (3)), and 2) using distances between points in reconstructed phase space, using time series of a (simulated) chaotic system.