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Confidence in risk assessments

Research output: Contribution to journalArticle

  • Jonathan Rougier
Original languageEnglish
Pages (from-to)1081-1095
Number of pages15
JournalJournal of the Royal Statistical Society: Series A
Volume182
Issue number3
Early online date19 Apr 2019
DOIs
DateAccepted/In press - 14 Feb 2019
DateE-pub ahead of print - 19 Apr 2019
DatePublished (current) - 1 Jun 2019

Abstract

Risk is assessed with varying degrees of confidence, and the degree of confidence is relevant to the risk manager. This paper proposes an operational framework for representing confidence, based on an expert’s current beliefs about how her beliefs might be different in the future. Two modelling simplifications, ‘no unknown unknowns’ (NUU) and an homogeneous Poisson process (HPP) make this framework trivial to apply. This is illustrated for assessing an exceedance probability for a large event, with volcanic risk as a specific example. The paper ends with a discussion about risk and confidence assessments for national-scale risk assessment, including several further illustrations.

    Research areas

  • Exceedance probability, Prospective interval, Reasonable worst case, ‘Bazaar of experts’, ‘No unknown unknowns’

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Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Wiley at https://rss.onlinelibrary.wiley.com/doi/full/10.1111/rssa.12445 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 481 KB, PDF-document

    Embargo ends: 19/04/20

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