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Big data: the next challenge for statistics

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Lettera Matematica

Abstract

This paper focuses on the pivotal role that statisticians are challenged to undertake in the Big Data era. Their traditional work of managing variability, complexity, and hidden information is indeed made extremely more complex by the enormous volume of a large variety of data that new technologies are able to provide at high velocity. In detail, the paper briefly discusses few paradigmatic cases of analysis of Big Data in which theoretical, methodological and computational aspects have been fruitfully integrated with specific competences from industry, biology, and finance.

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Authors and Affiliations

  1. Department of Mathematics “F.Enriques”, Università degli Studi di Milano, Via Saldini 50, 20133, Milan, Italy

    Francesca Ieva

  2. Department of Mathematics, MOX-Modelling and Scientific Computing, Politecnico di Milano, Via Bonardi 9, 20133, Milan, Italy

    Piercesare Secchi & Simone Vantini

Authors
  1. Francesca Ieva
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  2. Piercesare Secchi
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  3. Simone Vantini
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Correspondence to Francesca Ieva.

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Ieva, F., Secchi, P. & Vantini, S. Big data: the next challenge for statistics. Lett Mat Int 3, 111–120 (2015). https://doi.org/10.1007/s40329-015-0085-1

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  • DOI: https://doi.org/10.1007/s40329-015-0085-1

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