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Journeys in big data statistics

Dryden, Ian L.; Hodge, David J.

Authors

IAN DRYDEN IAN.DRYDEN@NOTTINGHAM.AC.UK
Professor of Statistics

David J. Hodge david.hodge@nottingham.ac.uk



Abstract

The realm of big data is a very wide and varied one. We discuss old, new, small and big data, with some of the important challenges including dealing with highly-structured and object-oriented data. In many applications the objective is to discern patterns and learn from large datasets of historical data. We shall discuss such issues in some transportation network applications in non-academic settings, which are naturally applicable to other situations. Vital aspects include dealing with logistics, coding and choosing appropriate statistical methodology, and we provide a summary and checklist for wider implementation.

Citation

Dryden, I. L., & Hodge, D. J. (2018). Journeys in big data statistics. Statistics and Probability Letters, 136, https://doi.org/10.1016/j.spl.2018.02.013

Journal Article Type Article
Acceptance Date Feb 10, 2018
Online Publication Date Feb 28, 2018
Publication Date May 30, 2018
Deposit Date Feb 22, 2018
Publicly Available Date Mar 1, 2019
Journal Statistics & Probability Letters
Electronic ISSN 0167-7152
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 136
DOI https://doi.org/10.1016/j.spl.2018.02.013
Public URL http://eprints.nottingham.ac.uk/id/eprint/49932
Publisher URL https://www.sciencedirect.com/science/article/pii/S0167715218300580
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0





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