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How do statisticians analyse big data—Our story

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  • Shi, Jian Qing

Abstract

Analysis of big data is a hot topic, but the first problem encountered by many statisticians is ‘where to start’. We would like to share our story with the readers who have less experience in this area, and hopefully it can shed some light on it.

Suggested Citation

  • Shi, Jian Qing, 2018. "How do statisticians analyse big data—Our story," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 130-133.
    • Handle: RePEc:eee:stapro:v:136:y:2018:i:c:p:130-133
    DOI: 10.1016/j.spl.2018.02.043
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    References listed on IDEAS

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    1. Smirnova, Ekaterina & Ivanescu, Andrada & Bai, Jiawei & Crainiceanu, Ciprian M., 2018. "A practical guide to big data," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 25-29.
    2. Lars Lau Raket & Britta Grimme & Gregor Schöner & Christian Igel & Bo Markussen, 2016. "Separating Timing, Movement Conditions and Individual Differences in the Analysis of Human Movement," PLOS Computational Biology, Public Library of Science, vol. 12(9), pages 1-27, September.
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    Cited by:

    1. Reid, Nancy, 2018. "Statistical science in the world of big data," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 42-45.

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    1. Reid, Nancy, 2018. "Statistical science in the world of big data," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 42-45.

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