Comments on: Data science, big data and statistics
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We would first like to thank the authors for writing this thought-provoking article on such an important topic. This piece explores the intersection of data science and statistics in a world increasingly concerned with the analysis of massive data sets. The authors consider seven areas in which the increased presence of big data may alter and expand traditional statistical approaches; they give an overview of the emerging field of data science; and they provide two examples of statistical analyses driven by big data. Finally, they provide some insight into the future of statistics, imagining it as one piece of the multi-faceted and evolving field of data science.
The authors stress the role that big data has and will continue to have in the development of data science as a field of study, and in the ways that statistics as a discipline must adapt. We would like to note that the field of statistics already has a long history of evolution. The study of statistics dates at least to the...
Mathematics Subject Classification62 (Statistics)
The work by JS was partially supported by NSF grant DMS-1811363.
- Wang H, Yang M, Stufken J (2018) Information-based optimal subdata selection for big data linear regression. J Am Stat Assoc 1–13. https://doi.org/10.1080/01621459.2017.1408468