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...

Descripción completa

Detalles Bibliográficos
Autores principales: Larson, Karen, Bowman, Clark, Papadimitriou, Costas, Koumoutsakos, Petros, Matzavinos, Anastasios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2019
Materias:
Mathematics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6837237/
https://www.ncbi.nlm.nih.gov/pubmed/31824680
http://dx.doi.org/10.1098/rsos.182229

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6837237/
https://www.ncbi.nlm.nih.gov/pubmed/31824680
http://dx.doi.org/10.1098/rsos.182229

Ejemplares similares