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Multimodal, high-dimensional, model-based, Bayesian inverse problems with applications in biomechanics
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Multimodal, high-dimensional, model-based, Bayesian inverse problems with applications in biomechanics

F. Monmont
P. Koutsourelakis
ArXiv (abs)PDFHTML

Papers citing "Multimodal, high-dimensional, model-based, Bayesian inverse problems with applications in biomechanics"

2 / 2 papers shown
Title
Likelihood-Free Inference with Deep Gaussian Processes
Likelihood-Free Inference with Deep Gaussian Processes
Alexander Aushev
Henri Pesonen
Markus Heinonen
J. Corander
Samuel Kaski
GP
101
10
0
18 Jun 2020
Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: application to urban drainage simulation
Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: application to urban drainage simulation
J. Nagel
J. Rieckermann
Bruno Sudret
46
65
0
11 Sep 2017