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
Details
- 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
)
https://livrepository.liverpool.ac.uk/3131935/ (Access:
Open
)
