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.


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    Titel :

    An Adaptive Copula-Based Approach for Model Bias Characterization


    Weitere Titelangaben:

    Sae Int. J. Mater. Manf
    Sae International Journal of Materials and Manufacturing


    Beteiligte:
    Pan, Hao (Autor:in) / Yang, Ren-Jye (Autor:in) / Xi, Zhimin (Autor:in)

    Kongress:

    SAE 2015 World Congress & Exhibition ; 2015



    Erscheinungsdatum :

    2015-04-14


    Format / Umfang :

    7 pages




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch


    Schlagwörter :


    An adaptive copula-based approach for model bias characterization

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    A Copula-Based Approach for Model Bias Characterization

    Hao, Pan / Yang, Ren-Jye / Fu, Yan et al. | SAE Technical Papers | 2014


    Joint Modeling of Pedestrian and Bicycle Crashes: Copula-Based Approach

    Nashad, Tammam / Yasmin, Shamsunnahar / Eluru, Naveen et al. | Transportation Research Record | 2016


    A Multivariate Copula-Based Macro-Level Crash Count Model

    Yasmin, Shamsunnahar / Momtaz, Salah Uddin / Nashad, Tammam et al. | Transportation Research Record | 2018


    Copula-Based Fusion of Correlated Decisions

    Sundaresan, A / Varshney, P K / Rao, N S V | IEEE | 2011