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Catastrophe Risk Analysis in Technical Systems Using Bayesian Statistics

  • Elizabeth Saers Bigun
Conference paper

Abstract

In this paper we present risk analysis models which are built on expert assessments of future risks. These models calibrate and aggregate judgements of the experts in order to predict the future risks. The models are constructed by applying Bayesian statistics.

Keywords

Unknown Variable Expert Judgement Future Risk Bayesian Statistic Expert Assessment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London 1996

Authors and Affiliations

  • Elizabeth Saers Bigun
    • 1
  1. 1.Center for Safety Research, KTH, Royal Institute of Technology, and Department of StatisticsStockholm UniversityStockholmSweden

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