On the convergence of the Laplace approximation and noise-level-robustness of Laplace-based Monte Carlo methods for Bayesian inverse problems (2020)

First Author: Schillings C
Attributed to:  Isaac Newton Institute for Mathematical Sciences funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/s00211-020-01131-1

Publication URI: http://dx.doi.org/10.1007/s00211-020-01131-1

Type: Journal Article/Review

Parent Publication: Numerische Mathematik

Issue: 4