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The future of statistics and data science

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. Green open access

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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 > Provost and Vice Provost Offices
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: http://discovery.ucl.ac.uk/id/eprint/10045833
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