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The role of statistics in the era of big data: A computational scientist’ perspective

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  • Quarteroni, Alfio

Abstract

In their modern implementation, computational models based on first principles from Physics can dramatically benefit from the recent explosion of Data Science. In fact, these two branches of applied mathematics can virtuously interplay, and at a large extent they already do.

Suggested Citation

  • Quarteroni, Alfio, 2018. "The role of statistics in the era of big data: A computational scientist’ perspective," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 63-67.
    • Handle: RePEc:eee:stapro:v:136:y:2018:i:c:p:63-67
    DOI: 10.1016/j.spl.2018.02.047
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    Cited by:

    1. Bowman, Adrian W., 2018. "Big questions, informative data, excellent science," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 34-36.
    2. Bettache, Nayel & Butucea, Cristina & Sorba, Marianne, 2022. "Fast nonasymptotic testing and support recovery for large sparse Toeplitz covariance matrices," Journal of Multivariate Analysis, Elsevier, vol. 190(C).

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