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Optimal design of large-scale Bayesian linear inverse problems under
  reducible model uncertainty: good to know what you don't know

Optimal design of large-scale Bayesian linear inverse problems under reducible model uncertainty: good to know what you don't know

21 June 2020
A. Alexanderian
N. Petra
G. Stadler
Isaac Sunseri
ArXivPDFHTML

Papers citing "Optimal design of large-scale Bayesian linear inverse problems under reducible model uncertainty: good to know what you don't know"

2 / 2 papers shown
Title
Choosing observation operators to mitigate model error in Bayesian
  inverse problems
Choosing observation operators to mitigate model error in Bayesian inverse problems
Nada Cvetković
H. Lie
Harshit Bansal
K. Veroy
21
3
0
12 Jan 2023
Optimal design of large-scale nonlinear Bayesian inverse problems under
  model uncertainty
Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty
A. Alexanderian
R. Nicholson
N. Petra
22
10
0
08 Nov 2022
1