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1311.1138
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Analysis of the Gibbs sampler for hierarchical inverse problems
5 November 2013
S. Agapiou
Johnathan M. Bardsley
O. Papaspiliopoulos
Andrew M. Stuart
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Papers citing
"Analysis of the Gibbs sampler for hierarchical inverse problems"
10 / 10 papers shown
Title
Pseudo-Marginal Bayesian Inference for Gaussian Processes
Maurizio Filippone
Mark Girolami
55
64
0
02 Oct 2013
Bayesian Posterior Contraction Rates for Linear Severely Ill-posed Inverse Problems
S. Agapiou
Andrew M. Stuart
Yuan-Xiang Zhang
66
42
0
04 Oct 2012
Bayesian inverse problems with non-conjugate priors
Kolyan Ray
110
85
0
27 Sep 2012
Bayes procedures for adaptive inference in inverse problems for the white noise model
B. Knapik
Botond Szabó
A. van der Vaart
J. H. Zanten
55
81
0
17 Sep 2012
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
MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster
S. Cotter
Gareth O. Roberts
Andrew M. Stuart
D. White
97
479
0
03 Feb 2012
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
B. Knapik
A. van der Vaart
J. H. Zanten
89
227
0
14 Mar 2011
The pseudo-marginal approach for efficient Monte Carlo computations
Christophe Andrieu
Gareth O. Roberts
164
894
0
31 Mar 2009
Stability of the Gibbs Sampler for Bayesian Hierarchical Models
O. Papaspiliopoulos
Gareth O. Roberts
380
58
0
23 Oct 2007
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