Bernstein-von Mises theorems and uncertainty quantification for linear inverse problems

9 November 2018

Papers citing "Bernstein-von Mises theorems and uncertainty quantification for linear inverse problems"

7 / 7 papers shown

Title
A Bayesian approach with Gaussian priors to the inverse problem of source identification in elliptic PDEs Matteo Giordano 27 0 0 29 Feb 2024
A Bernstein--von-Mises theorem for the Calderón problem with piecewise constant conductivities Jan Bohr 21 2 0 16 Jun 2022
Dimension free non-asymptotic bounds on the accuracy of high dimensional Laplace approximation V. Spokoiny 33 22 0 23 Apr 2022
Convergence Rates for Learning Linear Operators from Noisy Data Maarten V. de Hoop Nikola B. Kovachki Nicholas H. Nelsen Andrew M. Stuart 19 54 0 27 Aug 2021
Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems T. Helin Remo Kretschmann 8 17 0 11 Dec 2020
Nonparametric statistical inference for drift vector fields of multi-dimensional diffusions Richard Nickl Kolyan Ray 15 50 0 03 Oct 2018
Bernstein -- von Mises theorems for statistical inverse problems II: Compound Poisson processes Richard Nickl Jakob Sohl 23 36 0 22 Sep 2017