Operator norm theory as an efficient tool to propagate hybrid uncertainties and calculate imprecise probabilities

Author:

Faes Matthias G.R.,Valdebenito Marcos A.,Moens David,Beer Michael

Funder

Alexander von Humboldt-Stiftung

Fonds Wetenschappelijk Onderzoek

Publisher

Elsevier BV

Subject

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

Reference57 articles.

1. The Bhattacharyya distance: Enriching the P-box in stochastic sensitivity analysis;Bi;Mech. Syst. Sig. Process.,2019

2. Non-probabilistic finite element analysis for parametric uncertainty treatment in applied mechanics: Recent advances;Moens;Finite Elem. Anal. Des.,2011

3. Methods and Applications of Interval Analysis;Moore,1979

4. Recent trends in the modeling and quantification of non-probabilistic uncertainty;Faes;Arch. Comput. Methods Eng.,2019

5. On the quantification of aleatory and epistemic uncertainty using Sliced-Normal distributions;Crespo;Syst. Control Lett.,2019

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