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Posterior Consistency for Bayesian Inverse Problems through Stability
  and Regression Results

Posterior Consistency for Bayesian Inverse Problems through Stability and Regression Results

17 February 2013
Sebastian J. Vollmer
ArXivPDFHTML

Papers citing "Posterior Consistency for Bayesian Inverse Problems through Stability and Regression Results"

14 / 14 papers shown
Title
The Bayesian approach to inverse Robin problems
The Bayesian approach to inverse Robin problems
A. K. Rasmussen
Fanny Seizilles
Mark Girolami
Ieva Kazlauskaite
14
1
0
29 Nov 2023
Strong maximum a posteriori estimation in Banach spaces with Gaussian
  priors
Strong maximum a posteriori estimation in Banach spaces with Gaussian priors
Hefin Lambley
16
5
0
26 Apr 2023
On log-concave approximations of high-dimensional posterior measures and
  stability properties in non-linear inverse problems
On log-concave approximations of high-dimensional posterior measures and stability properties in non-linear inverse problems
Jan Bohr
Richard Nickl
13
17
0
17 May 2021
Stabilities of Shape Identification Inverse Problems in a Bayesian
  Framework
Stabilities of Shape Identification Inverse Problems in a Bayesian Framework
Hajime Kawakami
8
5
0
18 Feb 2020
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
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
16
47
0
09 May 2017
The Bayesian Formulation and Well-Posedness of Fractional Elliptic
  Inverse Problems
The Bayesian Formulation and Well-Posedness of Fractional Elliptic Inverse Problems
Nicolas García Trillos
D. Sanz-Alonso
42
24
0
16 Nov 2016
Probabilistic Numerical Methods for Partial Differential Equations and
  Bayesian Inverse Problems
Probabilistic Numerical Methods for Partial Differential Equations and Bayesian Inverse Problems
Jon Cockayne
Chris J. Oates
T. Sullivan
Mark Girolami
35
45
0
25 May 2016
Large Noise in Variational Regularization
Large Noise in Variational Regularization
Martin Burger
T. Helin
Hanne Kekkonen
25
15
0
01 Feb 2016
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
Sequential Monte Carlo Methods for Bayesian Elliptic Inverse Problems
Sequential Monte Carlo Methods for Bayesian Elliptic Inverse Problems
A. Beskos
Ajay Jasra
Ege A. Muzaffer
Andrew M. Stuart
26
72
0
15 Dec 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
31
32
0
01 Jul 2014
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