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Well-posed Bayesian Inverse Problems with Infinitely-Divisible and
  Heavy-Tailed Prior Measures

Well-posed Bayesian Inverse Problems with Infinitely-Divisible and Heavy-Tailed Prior Measures

23 September 2016
Bamdad Hosseini
ArXivPDFHTML

Papers citing "Well-posed Bayesian Inverse Problems with Infinitely-Divisible and Heavy-Tailed Prior Measures"

5 / 5 papers shown
Title
Conditional Generative Models are Provably Robust: Pointwise Guarantees
  for Bayesian Inverse Problems
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems
Fabian Altekrüger
Paul Hagemann
Gabriele Steidl
TPM
26
9
0
28 Mar 2023
Γ-convergence of Onsager-Machlup functionals. Part I: With
  applications to maximum a posteriori estimation in Bayesian inverse problems
Γ-convergence of Onsager-Machlup functionals. Part I: With applications to maximum a posteriori estimation in Bayesian inverse problems
Birzhan Ayanbayev
I. Klebanov
H. Lie
T. Sullivan
8
13
0
10 Aug 2021
A hybrid Gibbs sampler for edge-preserving tomographic reconstruction
  with uncertain view angles
A hybrid Gibbs sampler for edge-preserving tomographic reconstruction with uncertain view angles
Felipe Uribe
Johnathan M. Bardsley
Yiqiu Dong
P. Hansen
N. A. B. Riis
16
10
0
14 Apr 2021
On the well-posedness of Bayesian inverse problems
On the well-posedness of Bayesian inverse problems
J. Latz
14
48
0
26 Feb 2019
Cauchy difference priors for edge-preserving Bayesian inversion with an
  application to X-ray tomography
Cauchy difference priors for edge-preserving Bayesian inversion with an application to X-ray tomography
M. Markkanen
L. Roininen
Janne M. J. Huttunen
Sari Lasanen
38
32
0
19 Mar 2016
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