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1707.01764
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Bernstein - von Mises theorems for statistical inverse problems I: Schrödinger equation
6 July 2017
Richard Nickl
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Papers citing
"Bernstein - von Mises theorems for statistical inverse problems I: Schrödinger equation"
23 / 23 papers shown
Title
Nonparametric Bayesian posterior contraction rates for scalar diffusions with high-frequency data
Kweku Abraham
54
21
0
15 Feb 2018
Bernstein -- von Mises theorems for statistical inverse problems II: Compound Poisson processes
Richard Nickl
Jakob Sohl
47
36
0
22 Sep 2017
Efficient Nonparametric Bayesian Inference For X-Ray Transforms
F. Monard
Richard Nickl
G. Paternain
56
57
0
21 Aug 2017
On the Bernstein-Von Mises Theorem for High Dimensional Nonlinear Bayesian Inverse Problems
Yulong Lu
66
16
0
01 Jun 2017
Nonparametric Bayesian posterior contraction rates for discretely observed scalar diffusions
Richard Nickl
Jakob Sohl
60
76
0
19 Oct 2015
Posterior consistency and convergence rates for Bayesian inversion with hypoelliptic operators
Hanne Kekkonen
Matti Lassas
S. Siltanen
64
22
0
07 Jul 2015
Maximum a posteriori probability estimates in infinite-dimensional Bayesian inverse problems
T. Helin
Martin Burger
90
85
0
18 Dec 2014
Adaptive Bernstein-von Mises theorems in Gaussian white noise
Kolyan Ray
89
56
0
12 Jul 2014
A general approach to posterior contraction in nonparametric inverse problems
B. Knapik
J. Salomond
MedIm
73
32
0
01 Jul 2014
Frequentist coverage of adaptive nonparametric Bayesian credible sets
Botond Szabó
Van der Vaart
V. Zanten
105
159
0
16 Oct 2013
On the Bernstein-von Mises phenomenon for nonparametric Bayes procedures
I. Castillo
Richard Nickl
97
130
0
09 Oct 2013
A Bernstein-von Mises theorem for smooth functionals in semiparametric models
I. Castillo
Judith Rousseau
134
117
0
20 May 2013
On Bayesian supremum norm contraction rates
I. Castillo
196
76
0
05 Apr 2013
Posterior Consistency for Bayesian Inverse Problems through Stability and Regression Results
Sebastian J. Vollmer
116
56
0
17 Feb 2013
Consistent nonparametric Bayesian inference for discretely observed scalar diffusions
Frank van der Meulen
Harry Van Zanten
92
38
0
31 Jan 2013
Bayesian inverse problems with non-conjugate priors
Kolyan Ray
129
85
0
27 Sep 2012
Nonparametric Bernstein-von Mises theorems in Gaussian white noise
I. Castillo
Richard Nickl
135
147
0
19 Aug 2012
Posterior Contraction Rates for the Bayesian Approach to Linear Ill-Posed Inverse Problems
S. Agapiou
S. Larsson
Andrew M. Stuart
126
93
0
26 Mar 2012
Rates of contraction for posterior distributions in
\bolds
L
r
\bolds{L^r}
\bolds
L
r
-metrics,
\bolds
1
≤
r
≤
∞
\bolds{1\le r\le\infty}
\bolds
1
≤
r
≤
∞
Evarist Giné
Richard Nickl
91
108
0
09 Mar 2012
MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster
S. Cotter
Gareth O. Roberts
Andrew M. Stuart
D. White
102
480
0
03 Feb 2012
Besov priors for Bayesian inverse problems
Masoumeh Dashti
Stephen Harris
Andrew M. Stuart
89
119
0
04 May 2011
Bayesian inverse problems with Gaussian priors
B. Knapik
A. van der Vaart
J. H. Zanten
104
228
0
14 Mar 2011
Bernstein Von Mises Theorem for linear functionals of the density
Vincent Rivoirard
Judith Rousseau
139
122
0
28 Aug 2009
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