Towards a Bayesian framework for model validation

Gray, Ander and Patelli, Edoardo (2019) Towards a Bayesian framework for model validation. In: 13th International Conference on Applications of Statistics and Probability in Civil Engineering, 2019-05-26 - 2019-05-30.

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    Abstract

    In this paper we discuss some concepts and a methodology of a Bayesian framework for model validation under uncertainty, which produces a probabilistic value for a models validity and may be used in the design of”validation experiments. By using a stochastic metric as a measure of the distance between experiment and prediction, we update a validation distribution. We show this in practice using a simple numerical experiment and discuss the current shortcomings of the method. We finally discuss the role of information entropy in designing validation experiments.

    Creators(s): Gray, Ander and Patelli, Edoardo ORCID logoORCID: https://orcid.org/0000-0002-5007-7247;
    Item type:Conference or Workshop Item(Paper)
    ID code:71790
    Keywords:Bayesian framework, uncertainty, model validation, Engineering (General). Civil engineering (General), Civil and Structural Engineering, Statistics and Probability
    Subjects:Technology > Engineering (General). Civil engineering (General)
    Department:Faculty of Engineering > Civil and Environmental Engineering
    Depositing user: Pure Administrator
    Date deposited:18 Mar 2020 10:51
    Last modified:23 Sep 2020 02:02
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/71790
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