Olhede, SC;
Wolfe, PJ;
(2018)
The future of statistics and data science.
Statistics & Probability Letters
, 136
pp. 46-50.
10.1016/j.spl.2018.02.042.
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Abstract
The ubiquity of sensing devices, the low cost of data storage, and the commoditization of computing have together led to a big data revolution. We discuss the implication of this revolution for statistics, focusing on how our discipline can best contribute to the emerging field of data science.
| Type: | Article |
|---|---|
| Title: | The future of statistics and data science |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.spl.2018.02.042 |
| Publisher version: | https://doi.org/10.1016/j.spl.2018.02.042 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Algorithmic transparency, Data analysis, Data governance, Predictive analytics, Statistical inference, Structured and unstructured data |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10045833 |
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