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Bernstein - von Mises theorems for statistical inverse problems I:
  Schrödinger equation
v1v2v3 (latest)

Bernstein - von Mises theorems for statistical inverse problems I: Schrödinger equation

6 July 2017
Richard Nickl
ArXiv (abs)PDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Bayesian inverse problems with non-conjugate priors
Kolyan Ray
129
85
0
27 Sep 2012
Nonparametric Bernstein-von Mises theorems in Gaussian white noise
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
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
  $\bolds{L^r}$-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
91
108
0
09 Mar 2012
MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster
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
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
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
Bernstein Von Mises Theorem for linear functionals of the density
Vincent Rivoirard
Judith Rousseau
139
122
0
28 Aug 2009
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