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Well-posed Bayesian Inverse Problems: Priors with Exponential Tails

Well-posed Bayesian Inverse Problems: Priors with Exponential Tails

9 April 2016
Bamdad Hosseini
N. Nigam
ArXivPDFHTML

Papers citing "Well-posed Bayesian Inverse Problems: Priors with Exponential Tails"

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
31
9
0
28 Mar 2023
On the well-posedness of Bayesian inverse problems
On the well-posedness of Bayesian inverse problems
J. Latz
24
48
0
26 Feb 2019
Posterior distribution existence and error control in Banach spaces in
  the Bayesian approach to UQ in inverse problems
Posterior distribution existence and error control in Banach spaces in the Bayesian approach to UQ in inverse problems
J. Christen
Marcos A. Capistr´an
María Luisa
Hugo Flores-Arg¨uedas
J. C. Montesinos-L´opez
16
4
0
08 Dec 2017
A-optimal encoding weights for nonlinear inverse problems, with
  applications to the Helmholtz inverse problem
A-optimal encoding weights for nonlinear inverse problems, with applications to the Helmholtz inverse problem
B. Crestel
A. Alexanderian
G. Stadler
Omar Ghattas
14
31
0
07 Dec 2016
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
Bamdad Hosseini
43
34
0
23 Sep 2016
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