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.
|
Text (Gray-Patelli-ICASP2019-Towards-a-Bayesian-framework-for-model-validation)
Gray_Patelli_ICASP2019_Towards_a_Bayesian_framework_for_model_validation.pdf Accepted Author Manuscript Download (500kB)| Preview |
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 ![]() | 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: | 20 Jan 2021 15:08 |
Related URLs: | |
URI: | https://strathprints.strath.ac.uk/id/eprint/71790 |
Export data: |