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A general solution for dealing with parameter estimation in a rigorous way is Bayesian data analysis. This analysis allows estimation of specific parameters and their uncertainties for non-linear inverse problems in a strictly mathematical way. Though advantageous, it is computationally intensive with long processing times and therefore, with exceptions such as the Kalman filter for linear systems...
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