An Adaptive Copula-Based Approach for Model Bias Characterization

Event
SAE 2015 World Congress & Exhibition
Authors Abstract
Content
A copula-based approach for model bias characterization was previously proposed [18] aiming at improving prediction accuracy compared to other model characterization approaches such as regression and Gaussian Process. This paper proposes an adaptive copula-based approach for model bias identification to enhance the available methodology. The main idea is to use cluster analysis to preprocess data, then apply the copula-based approach using information from each cluster. The final prediction accumulates predictions obtained from each cluster. Two case studies will be used to demonstrate the superiority of the adaptive copula-based approach over its predecessor.
Meta TagsDetails
DOI
https://doi.org/10.4271/2015-01-0455
Pages
7
Citation
Pan, H., Xi, Z., and Yang, R., "An Adaptive Copula-Based Approach for Model Bias Characterization," SAE Int. J. Mater. Manf. 8(2):315-321, 2015, https://doi.org/10.4271/2015-01-0455.
Additional Details
Publisher
Published
Apr 14, 2015
Product Code
2015-01-0455
Content Type
Journal Article
Language
English