The role of statistics in data-centric engineering
| Author | Lau F.D.-H. |
| Author | Adams N.M. |
| Author | Girolami M.A. |
| Author | Butler L.J. |
| Author | Elshafie M.Z.E.B. |
| Available date | 2019-10-17T07:44:36Z |
| Publication Date | 2018 |
| Publication Name | Statistics and Probability Letters |
| Resource | Scopus |
| ISSN | 1677152 |
| Abstract | We 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. |
| Sponsor | This 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. |
| Language | en |
| Publisher | Elsevier B.V. |
| Subject | Big data Data-centric engineering Digital twin Fibre-optic sensor Instrumented infrastructure Statistics |
| Type | Article |
| Pagination | 58-62 |
| Volume Number | 136 |
Check access options
Files in this item
| Files | Size | Format | View |
|---|---|---|---|
|
There are no files associated with this item. |
|||
This item appears in the following Collection(s)
-
Civil and Environmental Engineering [851 items ]