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CST2014
The Twelfth International Conference
on Computational Structures Technology
Naples, Italy
2-5 September 2014
Special Session
CST2014-S08
Uncertainty Quantification and Management through Bayesian and/or Imprecise Probability Perspectives
organized by
Dr F.A. DiazDelaO, Dr E. Patelli,
Professor M. Beer and Professor S.K. Au,
Institute for Risk and Uncertainty, University of Liverpool, UK
Session Aims and Scope
The main objective of this special session is to establish a dialogue that contributes towards bridging the gap between the probabilistic and non-probabilistic communities in engineering. Bayesian methods provide a coherent and powerful methodology for dealing with uncertainty. Recent advances in theory and computation have shown them to be very useful for many applications. On the other hand, it is often the case in engineering that model parameters are associated with vagueness and indeterminacy due to scarcity and imprecision of the available information. An imprecise probability framework has been proven to be useful in such context. Relevant topics for this special session include but are not limited to Bayesian methods and Imprecise Probabilities with its various branches, such as: evidence theory, fuzzy probabilities, p-boxes etc. Both theoretical and computational developments are of interest, with particular focus on practical applicability and numerical efficiency. Papers combining the strengths of both probabilistic and non-probabilistic approaches are particularly welcome.
Organisers
For specific questions regarding the scope of this session please contact the organisers:
  • Dr F.A. DiazDelaO, Dr E. Patelli, Professor M. Beer and Professor S.K. Au,
    Institute for Risk and Uncertainty,
    University of Liverpool, UK
    (f.a.diazdelao/epatelli/m.beer/siu-kui.au AT liverpool.ac.uk)

Please note that papers that are found to fall outside the scope of this session may be considered for other sessions.

Abstract Submission
To submit abstracts for this special session, please follow the normal abstract submission procedure but please select "CST2014-S08" when asked "Is this paper part of a special session?"
Continue: Call-for-Papers