Corrigendum to “Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty” [Comput. Methods Appl. Mech. Engrg. 399 (2022) 115320] (Computer Methods in Applied Mechanics and Engineering (2022) 399, (S0045782522004194), (10.1016/j.cma.2022.115320))

Arved Bartuska*, Luis Espath, Raúl Tempone

*Corresponding author for this work

Research output: Contribution to journalComment/debatepeer-review

Abstract

The authors regret that because of the condensed notation in Eq. (21), we failed to keep track of the dependence of the correction term [Formula presented] on the parameters of interest [Formula presented] entering through [Formula presented] in Section 5 and Appendix B. The following equations were incorrect in the original submission; thus, we provide updated versions below. [Formula presented] [Formula presented] Following Eq. (42), we note that [Formula presented] is a constant. However, it depends on [Formula presented] and has the following shape: [Formula presented] [Formula presented] [Formula presented] [Formula presented] [Formula presented] [Formula presented] [Formula presented] [Formula presented] [Formula presented] [Formula presented] [Formula presented] This mistake did not significantly influence the numerical results presented in Section 7. Furthermore, the second to last term in Eq. (93) should have been [Formula presented] rather than [Formula presented]. For completeness, we present the corrected versions of the affected Figs. 1–5 and Figs. 7–11. Finally, the dependence on the data [Formula presented] of the approximate posterior in Section 6 should have been made explicit. The updated equations are as follows: [Formula presented] [Formula presented] For the fully updated version of this article, we refer the reader to arXiv:2112.06794. The authors would like to apologise for any inconvenience caused.

Original languageEnglish (US)
Article number115995
JournalComputer Methods in Applied Mechanics and Engineering
Volume410
DOIs
StatePublished - May 15 2023

Bibliographical note

Publisher Copyright:
© 2022 Elsevier B.V.

ASJC Scopus subject areas

  • Computational Mechanics
  • Mechanics of Materials
  • Mechanical Engineering
  • General Physics and Astronomy
  • Computer Science Applications

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