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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

26 March 2012
S. Agapiou
S. Larsson
Andrew M. Stuart
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Papers citing "Posterior Contraction Rates for the Bayesian Approach to Linear Ill-Posed Inverse Problems"

7 / 7 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
Large Noise in Variational Regularization
Large Noise in Variational Regularization
Martin Burger
T. Helin
Hanne Kekkonen
63
15
0
01 Feb 2016
Rates of contraction for posterior distributions in
  $\bolds{L^r}$-metrics, $\bolds{1\le r\le\infty}$
Rates of contraction for posterior distributions in \boldsLr\bolds{L^r}\boldsLr-metrics, \bolds1≤r≤∞\bolds{1\le r\le\infty}\bolds1≤r≤∞
Evarist Giné
Richard Nickl
76
108
0
09 Mar 2012
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
Rates of convergence for the posterior distributions of mixtures of
  Betas and adaptive nonparametric estimation of the density
Rates of convergence for the posterior distributions of mixtures of Betas and adaptive nonparametric estimation of the density
Judith Rousseau
92
79
0
11 Jan 2010
Rates of contraction of posterior distributions based on Gaussian
  process priors
Rates of contraction of posterior distributions based on Gaussian process priors
Van der Vaart
V. Zanten
210
431
0
18 Jun 2008
Bayesian inference with rescaled Gaussian process priors
Bayesian inference with rescaled Gaussian process priors
A. van der Vaart
Harry Van Zanten
197
89
0
19 Oct 2007
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