Statistical guarantees for Bayesian uncertainty quantification in non-linear inverse problems with Gaussian process priors

31 July 2020

Papers citing "Statistical guarantees for Bayesian uncertainty quantification in non-linear inverse problems with Gaussian process priors"

8 / 8 papers shown

Title
Stability and Statistical Inversion of Travel time Tomography Ashwin Tarikere Hanming Zhou 19 1 0 22 Sep 2023
Misspecified Bernstein-Von Mises theorem for hierarchical models Geerten Koers Botond Szabó A. van der Vaart 18 2 0 15 Aug 2023
Consistent inference for diffusions from low frequency measurements Richard Nickl 30 5 0 24 Oct 2022
A Bernstein--von-Mises theorem for the Calderón problem with piecewise constant conductivities Jan Bohr 21 2 0 16 Jun 2022
Minimax detection of localized signals in statistical inverse problems Markus Pohlmann Frank Werner Axel Munk 24 1 0 10 Dec 2021
Variational Bayesian Approximation of Inverse Problems using Sparse Precision Matrices Jan Povala Ieva Kazlauskaite Eky Febrianto F. Cirak Mark Girolami 26 22 0 22 Oct 2021
On log-concave approximations of high-dimensional posterior measures and stability properties in non-linear inverse problems Jan Bohr Richard Nickl 8 17 0 17 May 2021
Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem M. Giordano Richard Nickl 31 57 0 16 Oct 2019