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The role of statistics in data-centric engineering

المؤلفLau F.D.-H.
المؤلفAdams N.M.
المؤلفGirolami M.A.
المؤلفButler L.J.
المؤلفElshafie M.Z.E.B.
تاريخ الإتاحة2019-10-17T07:44:36Z
تاريخ النشر2018
اسم المنشورStatistics and Probability Letters
المصدرScopus
الرقم المعياري الدولي للكتاب1677152
معرّف المصادر الموحدhttp://dx.doi.org/10.1016/j.spl.2018.02.035
معرّف المصادر الموحدhttp://hdl.handle.net/10576/12135
الملخصWe explore the role of statistics for Big Data analysis arising from the emerging field of Data-Centric Engineering. Using examples related to sensor-instrumented bridges, we highlight a number of issues and challenges. These are broadly categorised as relating to uncertainty, latent-structure modelling, and the synthesis of statistical models and abstract physical models. - 2018 Elsevier B.V.
راعي المشروعThis work was supported by The Alan Turing Institute under the EPSRC grant EP/N510129/1 and the Turing-Lloyd�s Register Foundation Programme for Data-Centric Engineering.The authors would also like to acknowledge EPSRC and Innovate UK (grant no. 920035 ) for funding this research through the Centre for Smart Infrastructure and Construction (CSIC) Innovation and Knowledge Centre. Research related to installation of the sensor system was carried out under EPSRC grant no. EP/N021614 . Data related to this publication are available at the University of Cambridge data repository. The authors would like to thank the two referees for their insightful comments.
اللغةen
الناشرElsevier B.V.
الموضوعBig data
Data-centric engineering
Digital twin
Fibre-optic sensor
Instrumented infrastructure
Statistics
العنوانThe role of statistics in data-centric engineering
النوعArticle
الصفحات58-62
رقم المجلد136


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