EconPapers    
Economics at your fingertips  
 

Confidence in risk assessments

Jonathan Rougier

Journal of the Royal Statistical Society Series A, 2019, vol. 182, issue 3, 1081-1095

Abstract: Risk is assessed with varying degrees of confidence, and the degree of confidence is relevant to the risk manager. The 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’ and a homogeneous Poisson process, 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.

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://doi.org/10.1111/rssa.12445

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssa:v:182:y:2019:i:3:p:1081-1095

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-985X

Access Statistics for this article

Journal of the Royal Statistical Society Series A is currently edited by A. Chevalier and L. Sharples

More articles in Journal of the Royal Statistical Society Series A from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-03-19
Handle: RePEc:bla:jorssa:v:182:y:2019:i:3:p:1081-1095