Convergence of Gaussian Process Regression with Estimated Hyper-Parameters and Applications in 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/10.1137/19m1284816
Publication URI: http://dx.doi.org/10.1137/19m1284816
Type: Journal Article/Review
Parent Publication: SIAM/ASA Journal on Uncertainty Quantification
Issue: 4
ISSN: 2166-2525