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