eprintid: 10045833
rev_number: 25
eprint_status: archive
userid: 608
dir: disk0/10/04/58/33
datestamp: 2018-03-27 14:01:24
lastmod: 2021-10-05 00:24:13
status_changed: 2018-03-27 14:01:24
type: article
metadata_visibility: show
creators_name: Olhede, SC
creators_name: Wolfe, PJ
title: The future of statistics and data science
ispublished: pub
divisions: UCL
divisions: B04
divisions: C06
divisions: F61
keywords: Algorithmic transparency, Data analysis, Data governance, Predictive analytics, Statistical inference, Structured and unstructured data
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
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.
date: 2018-05
date_type: published
official_url: https://doi.org/10.1016/j.spl.2018.02.042
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1544299
doi: 10.1016/j.spl.2018.02.042
lyricists_name: Olhede, Sofia
lyricists_name: Wolfe, Patrick
lyricists_id: SCOLH43
lyricists_id: PWOLF42
actors_name: Bracey, Alan
actors_id: ABBRA90
actors_role: owner
full_text_status: public
publication: Statistics & Probability Letters
volume: 136
pagerange: 46-50
issn: 0167-7152
citation:        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 <https://doi.org/10.1016/j.spl.2018.02.042>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10045833/1/olhede-article-finalv4.pdf