Journeys in big data statistics

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Dryden, Ian L. and Hodge, David J. (2018) Journeys in big data statistics. Statistics & Probability Letters, 136 . pp. 121-125. ISSN 0167-7152

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Official URL: https://www.sciencedirect.com/science/article/pii/S0167715218300580

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.

Item Type:	Article
RIS ID:	https://nottingham-repository.worktribe.com/output/934560
Schools/Departments:	University of Nottingham, UK > Faculty of Science > School of Mathematical Sciences
Identification Number:	https://doi.org/10.1016/j.spl.2018.02.013
Depositing User:	Dryden, Professor Ian
Date Deposited:	22 Feb 2018 11:56
Last Modified:	04 May 2020 19:38
URI:	https://eprints.nottingham.ac.uk/id/eprint/49932

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