Probability bounds analysis for Python

Gray, Nicholas ORCID: 0000-0002-0930-4575, Ferson, Scott ORCID: 0000-0002-2613-0650, De Angelis, Marco ORCID: 0000-0001-8851-023X, Gray, Ander ORCID: 0000-0002-1585-0900 and de Oliveira, Francis Baumont (2022) Probability bounds analysis for Python. Software Impacts, 12. p. 100246. ISSN 2665-9638, 2665-9638

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Abstract

Probability bounds analysis (PBA) is a collection of mathematical methods generalising interval analysis and probability theory. PBA can be utilised for uncertainty quantification for both aleatory and epistemic uncertainty across a wide range of scientific fields. PBA is most useful when information about variables is only partially known and can be used without requiring untenable assumptions to be made about parameter values, distribution shapes or dependence between variables. This paper introduces a PBA library for the Python programming language.

Item Type:	Article
Uncontrolled Keywords:	46 Information and Computing Sciences, 4609 Information Systems, 4612 Software Engineering
Divisions:	Faculty of Science and Engineering > School of Engineering
Depositing User:	Symplectic Admin
Date Deposited:	09 Feb 2022 09:33
Last Modified:	07 Dec 2024 21:17
DOI:	10.1016/j.simpa.2022.100246
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3148507