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The role of statistics in data-centric engineering

Author

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  • Lau, F. Din-Houn
  • Adams, Niall M.
  • Girolami, Mark A.
  • Butler, Liam J.
  • Elshafie, Mohammed Z.E.B.

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.

Suggested Citation

  • Lau, F. Din-Houn & Adams, Niall M. & Girolami, Mark A. & Butler, Liam J. & Elshafie, Mohammed Z.E.B., 2018. "The role of statistics in data-centric engineering," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 58-62.
    • Handle: RePEc:eee:stapro:v:136:y:2018:i:c:p:58-62
    DOI: 10.1016/j.spl.2018.02.035
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    References listed on IDEAS

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    1. Axel Gandy & F. Din-Houn Lau, 2013. "Non-restarting cumulative sum charts and control of the false discovery rate," Biometrika, Biometrika Trust, vol. 100(1), pages 261-268.
    2. Laura Azzimonti & Laura M. Sangalli & Piercesare Secchi & Maurizio Domanin & Fabio Nobile, 2015. "Blood Flow Velocity Field Estimation Via Spatial Regression With PDE Penalization," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(511), pages 1057-1071, September.
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    Cited by:

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    3. Reid, Nancy, 2018. "Statistical science in the world of big data," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 42-45.
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