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Bayesian Posterior Contraction Rates for Linear Severely Ill-posed
  Inverse Problems

Bayesian Posterior Contraction Rates for Linear Severely Ill-posed Inverse Problems

4 October 2012
S. Agapiou
Andrew M. Stuart
Yuan-Xiang Zhang
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Papers citing "Bayesian Posterior Contraction Rates for Linear Severely Ill-posed Inverse Problems"

5 / 5 papers shown
Title
Sparsity-promoting and edge-preserving maximum a posteriori estimators
  in non-parametric Bayesian inverse problems
Sparsity-promoting and edge-preserving maximum a posteriori estimators in non-parametric Bayesian inverse problems
S. Agapiou
Martin Burger
Masoumeh Dashti
T. Helin
38
47
0
09 May 2017
Posterior Contraction Rates for the Bayesian Approach to Linear
  Ill-Posed Inverse Problems
Posterior Contraction Rates for the Bayesian Approach to Linear Ill-Posed Inverse Problems
S. Agapiou
S. Larsson
Andrew M. Stuart
88
92
0
26 Mar 2012
Posterior convergence for approximated unknowns in non-Gaussian
  statistical inverse problems
Posterior convergence for approximated unknowns in non-Gaussian statistical inverse problems
Sari Lasanen
78
32
0
05 Dec 2011
Bayesian recovery of the initial condition for the heat equation
Bayesian recovery of the initial condition for the heat equation
B. Knapik
Van der Vaart
V. Zanten
79
59
0
25 Nov 2011
Bayesian inverse problems with Gaussian priors
Bayesian inverse problems with Gaussian priors
B. Knapik
A. van der Vaart
J. H. Zanten
89
227
0
14 Mar 2011
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