Detection of arterial wall abnormalities via Bayesian model selection
Patient-specific modelling of haemodynamics in arterial networks has so far relied on parameter estimation for inexpensive or small-scale models. We describe here a Bayesian uncertainty quantification framework which makes two major advances: an efficient parallel implementation, allowing parameter...
Main Authors: | Karen Larson, Clark Bowman, Costas Papadimitriou, Petros Koumoutsakos, Anastasios Matzavinos |
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Format: | Article |
Language: | English |
Published: |
The Royal Society
2019-10-01
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Series: | Royal Society Open Science |
Subjects: | |
Online Access: | https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.182229 |
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