9. Conclusion: Perspectives of Modelling in the Context of Risk and Uncertainty and Further Research

  1. Etienne de Rocquigny

Published Online: 11 APR 2012

DOI: 10.1002/9781119969495.ch9

Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods

Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods

How to Cite

de Rocquigny, E. (2012) Conclusion: Perspectives of Modelling in the Context of Risk and Uncertainty and Further Research, in Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781119969495.ch9

Author Information

  1. Ecole Centrale Paris, Université Paris-Saclay, France

Publication History

  1. Published Online: 11 APR 2012
  2. Published Print: 20 APR 2012

Book Series:

  1. Wiley Series in Probability and Statistics

Book Series Editors:

  1. Walter A. Shewhart and
  2. Samuel S. Wilks

ISBN Information

Print ISBN: 9780470695142

Online ISBN: 9781119969495

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Keywords:

  • modelling, and risk and uncertainty;
  • open scientific challenges;
  • input uncertainty modelling;
  • identifiability issues;
  • modeling, without increasing risk;
  • inverse probabilistic modelling;
  • high-performance computing;
  • simulation-based decision-making;
  • epistemological, organisational issues;
  • advanced modelling, dissemination

Summary

This chapter contains sections titled:

  • Open scientific challenges

  • Challenges involved by the dissemination of advanced modelling in the context of risk and uncertainty

  • References