The role of statistics in data-centric engineering
File(s)
Accepted version
Author(s)
Lau, D
Adams, Niall
Girolami, Mark
Butler, Liam
Elshafie, Mohammed
Type
Journal Article
Abstract
We explore the role of statistics for Big Data analysis arising from the emerging
eld of Data-Centric Engineering. Using examples related to sensor-instrumented
bridges, we highlight a number of issues and challenges. These are broadly cate-
gorised as relating to uncertainty, latent-structure modelling, and the synthesis
of statistical models and abstract physical models.
Keywords: Big Data, Data-Centric Engineering, Digital Twin, Fibre-optic
sensor, Instrumented infrastructure, Statistics
eld of Data-Centric Engineering. Using examples related to sensor-instrumented
bridges, we highlight a number of issues and challenges. These are broadly cate-
gorised as relating to uncertainty, latent-structure modelling, and the synthesis
of statistical models and abstract physical models.
Keywords: Big Data, Data-Centric Engineering, Digital Twin, Fibre-optic
sensor, Instrumented infrastructure, Statistics
Date Issued
2018-05-01
Date Acceptance
2018-02-10
Citation
Statistics and Probability Letters, 2018, 136, pp.58-62
ISSN
0167-7152
Publisher
Elsevier
Start Page
58
End Page
62
Journal / Book Title
Statistics and Probability Letters
Volume
136
Copyright Statement
© 2018 Elsevier B.V. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Subjects
0102 Applied Mathematics
0104 Statistics
1403 Econometrics
Statistics & Probability
Publication Status
Published
Date Publish Online
2018-02-26