Towards a Bayesian framework for model validation

Gray, AK ORCID: 0000-0002-1585-0900 and Patelli, Edoardo ORCID: 0000-0002-5007-7247 (2019) Towards a Bayesian framework for model validation. In: ICASP13, 2019-5-25 - 2019-5-31, Seoul, South Korea.

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Abstract

© 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019. All rights reserved. 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.

Item Type:	Conference or Workshop Item (Unspecified)
Depositing User:	Symplectic Admin
Date Deposited:	29 Apr 2019 09:40
Last Modified:	19 Jan 2023 00:53
DOI:	10.22725/ICASP13.347
Open Access URL:	https://doi.org/10.22725/ICASP13.347
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3038495