Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Bayesian Framework for Uncertainty Quantification in the Design of Complex Systems


    Beteiligte:
    He, Qinxian (Autor:in) / Allaire, Douglas (Autor:in) / Deyst, John (Autor:in) / Willcox, Karen (Autor:in)

    Kongress:

    12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference



    Erscheinungsdatum :

    01.01.2012




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    A BAYESIAN FRAMEWORK FOR UNCERTAINTY QUANTIFICATION IN THE DESIGN OF COMPLEX SYSTEMS

    He, Q. / Allaire, D. / Deyst, J. et al. | British Library Conference Proceedings | 2012


    Uncertainty Quantification of Flame Transfer Function under a Bayesian Framework

    Li, Yixing / Wang, Xingjian / Mak, Simon et al. | AIAA | 2018


    Bayesian Inference for Crystallographic Texture Uncertainty Quantification

    Ricciardi, Denielle E. / Chkrebtii, Oksana / Niezgoda, Stephen R. | AIAA | 2019


    Uncertainty Quantification of Flame Transfer Function under a Bayesian Framework (AIAA 2018-1187)

    Li, Yixing / Wang, Xingjian / Mak, Simon et al. | British Library Conference Proceedings | 2018


    SafeSens - Uncertainty Quantification of Complex Perception Systems

    Kurzidem, Iwo / Burton, Simon / Schleiss, Philipp | IEEE | 2023