Article

Detection of arterial wall abnormalities via Bayesian model selection

2018-09-21

Abstract excerpt

Patient-specific modeling of hemodynamics 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 estimation for more complex forward models, and a system for practical model selection, allowing evidence-based compari...

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Identifiers and source

Literature Corpus work: 2322ff6e-043e-528b-b6a8-abf74b03502c
DOI: 10.1101/422485

Open publication

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