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stat.AP2025★ 4 cited
Bayesian Parameter Inference and Uncertainty Quantification for a Computational Pulmonary Hemodynamics Model Using Gaussian Processes
Amirreza Kachabi, Sofia Altieri Correa, Naomi C. Chesler +1
Subject-specific modeling is a powerful tool in cardiovascular research, providing insights beyond the reach of current clinical diagnostics. Limitations in available clinical data…
stat.AP2018
MCMC methods for inference in a mathematical model of pulmonary circulation
L. Mihaela Paun, M. Umar Qureshi, Mitchel Colebank +4
This study performs parameter inference in a partial differential equations system of pulmonary circulation. We use a fluid dynamics network model that takes selected parameter val…