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Gaussian process methods for one-dimensional diffusions: optimal rates
  and adaptation

Gaussian process methods for one-dimensional diffusions: optimal rates and adaptation

1 June 2015
J. van Waaij
Harry Van Zanten
ArXivPDFHTML

Papers citing "Gaussian process methods for one-dimensional diffusions: optimal rates and adaptation"

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
Analysis of the Gibbs sampler for hierarchical inverse problems
Analysis of the Gibbs sampler for hierarchical inverse problems
S. Agapiou
Johnathan M. Bardsley
O. Papaspiliopoulos
Andrew M. Stuart
73
60
0
05 Nov 2013
Bayes procedures for adaptive inference in inverse problems for the
  white noise model
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
Lower bounds for posterior rates with Gaussian process priors
Lower bounds for posterior rates with Gaussian process priors
I. Castillo
97
95
0
17 Jul 2008
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
203
431
0
18 Jun 2008
Reproducing kernel Hilbert spaces of Gaussian priors
Reproducing kernel Hilbert spaces of Gaussian priors
Van der Vaart
V. Zanten
90
223
0
21 May 2008
Nonparametric Bayesian model selection and averaging
Nonparametric Bayesian model selection and averaging
S. Ghosal
J. Lember
A. van der Vaart
155
94
0
01 Feb 2008
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