Bayesian inversion for imprecise probabilistic models using a novel entropy-based uncertainty quantification metric-Reference-Cited by-同舟云学术

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

Published:2022-01 Issue: Volume:162 Page:107954
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

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

Funder

Alexander von Humboldt-Stiftung

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Fonds Wetenschappelijk Onderzoek

China Scholarship Council

Aeronautical Science Foundation of China

Publisher

Elsevier BV

Subject

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

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