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Consistency of Bayesian inference with Gaussian process priors for a
  parabolic inverse problem

Consistency of Bayesian inference with Gaussian process priors for a parabolic inverse problem

24 March 2021
Hanne Kekkonen
ArXiv (abs)PDFHTML

Papers citing "Consistency of Bayesian inference with Gaussian process priors for a parabolic inverse problem"

4 / 4 papers shown
Title
Misspecified Bernstein-Von Mises theorem for hierarchical models
Misspecified Bernstein-Von Mises theorem for hierarchical models
Geerten Koers
Botond Szabó
A. van der Vaart
70
2
0
15 Aug 2023
On posterior consistency of data assimilation with Gaussian process
  priors: the 2D Navier-Stokes equations
On posterior consistency of data assimilation with Gaussian process priors: the 2D Navier-Stokes equations
Richard Nickl
E. Titi
49
8
0
16 Jul 2023
On some information-theoretic aspects of non-linear statistical inverse
  problems
On some information-theoretic aspects of non-linear statistical inverse problems
Richard Nickl
G. Paternain
79
9
0
20 Jul 2021
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
57
17
0
17 May 2021
1