Extrapolating Validation Using Bayesian Networks with Interval Probabilities

Liang Zhao; Zhan Ping Yang

doi:10.4028/www.scientific.net/AMM.687-691.1564

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Extrapolating Validation Using Bayesian Networks...

Extrapolating Validation Using Bayesian Networks with Interval Probabilities

Abstract:

This paper develops a model validation method in the case of the full scale tests for the system model are infeasible. The Bayesian network with uncertain conditional probability parameters is used to represent the relations between the large computational model and its smaller modules. The interval probability theory is adopted to extrapolate the posterior probability of the interested variable in the uncertain Bayesian network. An interval valued Bayes factor is obtained to be the metric for model validation.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

1564-1567

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.1564

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Online since:

November 2014

Authors:

Liang Zhao*, Zhan Ping Yang

Keywords:

Bayes Factor, Bayesian Network, Interval Probability Theory, Model Validation

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* - Corresponding Author

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