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.

Access the full-text of this item by clicking on the Open Access link.
[img] Text
Bayesian_Validation(2).pdf - Submitted version

Download (500kB)


© 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: