Related references
Note: Only part of the references are listed.Numerical Simulation of Conductivity Changes in the Human Thorax Caused by Aortic Dissection
Alice Reinbacher-Koestinger et al.
IEEE TRANSACTIONS ON MAGNETICS (2019)
Inferring solutions of differential equations using noisy multi-fidelity data
Maziar Raissi et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2017)
Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling
P. Perdikaris et al.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2017)
A guide to uncertainty quantification and sensitivity analysis for cardiovascular applications
Vinzenz Gregor Eck et al.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING (2016)
On the impact of modelling assumptions in multi-scale, subject-specific models of aortic haemodynamics
Jordi Alastruey et al.
JOURNAL OF THE ROYAL SOCIETY INTERFACE (2016)
Towards efficient uncertainty quantification in complex and large-scale biomechanical problems based on a Bayesian multi-fidelity scheme
Jonas Biehler et al.
BIOMECHANICS AND MODELING IN MECHANOBIOLOGY (2015)
RECURSIVE CO-KRIGING MODEL FOR DESIGN OF COMPUTER EXPERIMENTS WITH MULTIPLE LEVELS OF FIDELITY
Loic Le Gratiet et al.
INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION (2014)
ACCURATE UNCERTAINTY QUANTIFICATION USING INACCURATE COMPUTATIONAL MODELS
Phaedon-Stelios Koutsourelakis
SIAM JOURNAL ON SCIENTIFIC COMPUTING (2009)
Bayesian analysis of computer code outputs: A tutorial
A. O'Hagan
RELIABILITY ENGINEERING & SYSTEM SAFETY (2006)
Nested Sampling for General Bayesian Computation
John Skilling
BAYESIAN ANALYSIS (2006)
High-order collocation methods for differential equations with random inputs
DB Xiu et al.
SIAM JOURNAL ON SCIENTIFIC COMPUTING (2005)
Clinical, diagnostic, and management perspectives of aortic dissection
IA Khan et al.
CHEST (2002)
Predicting the output from a complex computer code when fast approximations are available
MC Kennedy et al.
BIOMETRIKA (2000)
Share Paper
