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Large Noise in Variational Regularization

Large Noise in Variational Regularization

1 February 2016
Martin Burger
T. Helin
Hanne Kekkonen
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Papers citing "Large Noise in Variational Regularization"

8 / 8 papers shown
Title
Efficient Nonparametric Bayesian Inference For X-Ray Transforms
Efficient Nonparametric Bayesian Inference For X-Ray Transforms
F. Monard
Richard Nickl
G. Paternain
32
57
0
21 Aug 2017
Posterior consistency and convergence rates for Bayesian inversion with
  hypoelliptic operators
Posterior consistency and convergence rates for Bayesian inversion with hypoelliptic operators
Hanne Kekkonen
Matti Lassas
S. Siltanen
34
22
0
07 Jul 2015
Maximum a posteriori probability estimates in infinite-dimensional
  Bayesian inverse problems
Maximum a posteriori probability estimates in infinite-dimensional Bayesian inverse problems
T. Helin
Martin Burger
43
85
0
18 Dec 2014
Posterior Consistency for Bayesian Inverse Problems through Stability
  and Regression Results
Posterior Consistency for Bayesian Inverse Problems through Stability and Regression Results
Sebastian J. Vollmer
64
55
0
17 Feb 2013
Bayesian inverse problems with non-conjugate priors
Bayesian inverse problems with non-conjugate priors
Kolyan Ray
94
85
0
27 Sep 2012
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
87
92
0
26 Mar 2012
Bayesian inverse problems with Gaussian priors
Bayesian inverse problems with Gaussian priors
B. Knapik
A. van der Vaart
J. H. Zanten
82
225
0
14 Mar 2011
Hierarchical models in statistical inverse problems and the
  Mumford--Shah functional
Hierarchical models in statistical inverse problems and the Mumford--Shah functional
T. Helin
Matti Lassas
79
30
0
24 Aug 2009
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