Physical and biological models often have hundreds of inputs, many of which may have a negligible effect on a model’s response. Establishing parameters that can be fixed at nominal values without significantly affecting model outputs is often difficult. In a new paper, authors apply robust parameter selection and verification techniques to a dynamic HIV model.
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