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, Volume 28, Issue 2, pp 334–337 | Cite as

Comments on: Data science, big data and statistics

  • Pedro DelicadoEmail author
Discussion
  • 183 Downloads

Introduction

The paper under discussion offers an accurate panoramic view about the effects that the emergence of big data and data science in the last decade is having on statistics. I congratulate the authors for such a well-written and stimulating piece of work, including an excellent bibliography review. I agree with them that statistics has been able to adapt to the new scenarios (abundance and heterogeneity of data, impressive computing capacity, other disciplines sharing the same objectives, among other), and I trust that the discipline will take advantage of the new challenges it will face in the future.

The authors’ belief on the need for convergence of different disciplines (statistics, machine learning, operation research, mathematics) is a position that I share completely. Specifically, they foresee that statistical ideas will be used to decompose and understand the forecasting rules created in other areas, [and] to identify the importance of the more relevant variables....

Notes

Acknowledgements

Work supported in part by the Spanish Ministerio de Economía, Industria y Competitividad, Grant MTM2017-88142-P.

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Copyright information

© Sociedad de Estadística e Investigación Operativa 2019

Authors and Affiliations

  1. 1.Departament d’Estadística i Investigació OperativaUniversitat Politècnica d CatalunyaBarcelonaSpain

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