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AuthorLau F.D.-H.
AuthorAdams N.M.
AuthorGirolami M.A.
AuthorButler L.J.
AuthorElshafie M.Z.E.B.
Available date2019-10-17T07:44:36Z
Publication Date2018
Publication NameStatistics and Probability Letters
ISSN1677152
URIhttp://dx.doi.org/10.1016/j.spl.2018.02.035
URIhttp://hdl.handle.net/10576/12135
AbstractWe 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.
SponsorThis 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.
Languageen
PublisherElsevier B.V.
SubjectBig data
SubjectData-centric engineering
SubjectDigital twin
SubjectFibre-optic sensor
SubjectInstrumented infrastructure
SubjectStatistics
TitleThe role of statistics in data-centric engineering
TypeArticle
Pagination58-62
Volume Number136


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