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Introduction to Gaussian Process Regression in Bayesian Inverse Problems, with New Results on Experimental Design for Weighted Error Measures

First Author: Helin T

Attributed to: Isaac Newton Institute for Mathematical Sciences funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-031-59762-6_3

Publication URI: http://dx.doi.org/10.1007/978-3-031-59762-6_3

Type: Book Chapter

Book Title: Monte Carlo and Quasi-Monte Carlo Methods - MCQMC 2022, Linz, Austria, July 17-22 (2024)

Page Reference: 49-79