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

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

14 December 2015
F. Monmont
P. Koutsourelakis
ArXivPDFHTML

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
26
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
6
63
0
11 Sep 2017
1