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Bayesian inverse problems with non-conjugate priors

Bayesian inverse problems with non-conjugate priors

27 September 2012
Kolyan Ray
ArXivPDFHTML

Papers citing "Bayesian inverse problems with non-conjugate priors"

20 / 20 papers shown
Title
Convergence Rates for Learning Linear Operators from Noisy Data
Convergence Rates for Learning Linear Operators from Noisy Data
Maarten V. de Hoop
Nikola B. Kovachki
Nicholas H. Nelsen
Andrew M. Stuart
21
54
0
27 Aug 2021
Statistical guarantees for Bayesian uncertainty quantification in
  non-linear inverse problems with Gaussian process priors
Statistical guarantees for Bayesian uncertainty quantification in non-linear inverse problems with Gaussian process priors
F. Monard
Richard Nickl
G. Paternain
25
35
0
31 Jul 2020
Gaussian Processes with Errors in Variables: Theory and Computation
Gaussian Processes with Errors in Variables: Theory and Computation
Shuang Zhou
D. Pati
Tianying Wang
Yun Yang
R. Carroll
27
3
0
14 Oct 2019
Nonparametric statistical inference for drift vector fields of
  multi-dimensional diffusions
Nonparametric statistical inference for drift vector fields of multi-dimensional diffusions
Richard Nickl
Kolyan Ray
25
51
0
03 Oct 2018
Convergence rates for Penalised Least Squares Estimators in
  PDE-constrained regression problems
Convergence rates for Penalised Least Squares Estimators in PDE-constrained regression problems
Richard Nickl
Sara van de Geer
Sven Wang
15
59
0
24 Sep 2018
Bayesian inverse problems with unknown operators
Bayesian inverse problems with unknown operators
Mathias Trabs
29
12
0
30 Jan 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
31
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
16
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
29
16
0
01 Jun 2017
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
13
47
0
09 May 2017
A Bayesian nonparametric approach to log-concave density estimation
A Bayesian nonparametric approach to log-concave density estimation
Ester Mariucci
Kolyan Ray
Botond Szabó
67
11
0
28 Mar 2017
Posterior contraction rates for support boundary recovery
Posterior contraction rates for support boundary recovery
M. Reiß
Johannes Schmidt-Hieber
19
4
0
24 Mar 2017
Multiscale scanning in inverse problems
Multiscale scanning in inverse problems
K. Proksch
Frank Werner
Axel Munk
32
31
0
14 Nov 2016
Large Noise in Variational Regularization
Large Noise in Variational Regularization
Martin Burger
T. Helin
Hanne Kekkonen
25
15
0
01 Feb 2016
Nonparametric Bayesian posterior contraction rates for discretely
  observed scalar diffusions
Nonparametric Bayesian posterior contraction rates for discretely observed scalar diffusions
Richard Nickl
Jakob Sohl
17
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
19
22
0
07 Jul 2015
Asymptotic behaviour of the empirical Bayes posteriors associated to
  maximum marginal likelihood estimator
Asymptotic behaviour of the empirical Bayes posteriors associated to maximum marginal likelihood estimator
Judith Rousseau
Botond Szabó
34
56
0
19 Apr 2015
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
31
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
36
159
0
16 Oct 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
41
55
0
17 Feb 2013
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