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Parameter Estimation for Differential Equation Models Using Generalized Profiling: A Computational Tutorial
Parameter estimation connects mathematical models to real-world data and decision making across many scientific and industrial applications. Standard approaches such as maximum likelihood estimation and Markov chain Monte Carlo estimate parameters by repeatedly solving the model, which often require
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