A spectral surrogate pipeline enables profile-likelihood identifiability analysis for a 1D pulmonary hemodynamics PDE model, showing that adding flow data improves parameter identifiability.
Variance-based sensitivity analysis for time-dependent processes
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Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction
A spectral surrogate pipeline enables profile-likelihood identifiability analysis for a 1D pulmonary hemodynamics PDE model, showing that adding flow data improves parameter identifiability.