Probability bounds analysis for Python

Nicholas Gray, Scott Ferson, Marco de Angelis, Ander Gray, Fracis Baumont de Oliveira

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
74 Downloads (Pure)

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.
Original languageEnglish
Article number100246
Number of pages6
JournalSoftware Impacts
Volume12
Early online date12 Feb 2022
DOIs
Publication statusPublished - 31 May 2022

Keywords

  • probability bounds analysis
  • probability boxes
  • intervals
  • uncertainty quantification

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