Bayesian inversion for imprecise probabilistic models using a novel entropy-based uncertainty quantification metric

authored by

Lechang Yang, Sifeng Bi, Matthias G.R. Faes, Matteo Broggi, Michael Beer

Organisation(s)

Institute for Risk and Reliability

External Organisation(s)

University of Science and Technology Beijing
Beijing Institute of Technology
KU Leuven
University of Liverpool
Tongji University

Type

Article

Journal

Mechanical Systems and Signal Processing

Volume

162

ISSN

0888-3270

Publication date

01.01.2022

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Control and Systems Engineering, Signal Processing, Civil and Structural Engineering, Aerospace Engineering, Mechanical Engineering, Computer Science Applications

Electronic version(s)

https://doi.org/10.1016/j.ymssp.2021.107954 (Access: Closed)