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Data-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse
  Problems

Data-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse Problems

26 February 2021
Tiangang Cui
O. Zahm
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Papers citing "Data-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse Problems"

3 / 3 papers shown
Title
Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis
Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis
Qiao Chen
Elise Arnaud
Ricardo Baptista
O. Zahm
40
1
0
19 Jun 2024
Evaluating the accuracy of Gaussian approximations in VSWIR imaging
  spectroscopy retrievals
Evaluating the accuracy of Gaussian approximations in VSWIR imaging spectroscopy retrievals
Kelvin M. Leung
D. Thompson
J. Susiluoto
Jayanth Jagalur
A. Braverman
Youssef Marzouk
11
0
0
22 Aug 2023
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of
  Data with Complex Predictive Models under Uncertainty
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty
Ki-tae Kim
Umberto Villa
M. Parno
Youssef Marzouk
Omar Ghattas
N. Petra
19
18
0
01 Dec 2021
1