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Statistical science in the world of big data

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  • Reid, Nancy

Abstract

This essay considers the role of the statistical sciences in the world of big data, data science, machine learning, and artificial intelligence, with a decidedly Canadian slant.

Suggested Citation

  • Reid, Nancy, 2018. "Statistical science in the world of big data," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 42-45.
    • Handle: RePEc:eee:stapro:v:136:y:2018:i:c:p:42-45
    DOI: 10.1016/j.spl.2018.02.049
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    References listed on IDEAS

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    1. D.R. Cox, 2015. "Big data and precision," Biometrika, Biometrika Trust, vol. 102(3), pages 712-716.
    2. Ceri, Stefano, 2018. "On the role of statistics in the era of big data: A computer science perspective," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 68-72.
    3. Pluta, Dustin & Yu, Zhaoxia & Shen, Tong & Chen, Chuansheng & Xue, Gui & Ombao, Hernando, 2018. "Statistical methods and challenges in connectome genetics," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 83-86.
    4. Beate Franke & Jean-FRANçois Plante & Ribana Roscher & En-shiun Annie Lee & Cathal Smyth & Armin Hatefi & Fuqi Chen & Einat Gil & Alexander Schwing & Alessandro Selvitella & Michael M. Hoffman & Roger, 2016. "Statistical Inference, Learning and Models in Big Data," International Statistical Review, International Statistical Institute, vol. 84(3), pages 371-389, December.
    5. Azzone, Giovanni, 2018. "Big data and public policies: Opportunities and challenges," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 116-120.
    6. Castruccio, Stefano & Genton, Marc G., 2018. "Principles for statistical inference on big spatio-temporal data from climate models," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 92-96.
    7. Hetan Shah, 2017. "The DeepMind debacle demands dialogue on data," Nature, Nature, vol. 547(7663), pages 259-259, July.
    8. James, Gareth M., 2018. "Statistics within business in the era of big data," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 155-159.
    9. 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.
    10. Dryden, Ian L. & Hodge, David J., 2018. "Journeys in big data statistics," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 121-125.
    11. Shi, Jian Qing, 2018. "How do statisticians analyse big data—Our story," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 130-133.
    12. Meng, Xiao-Li, 2018. "Conducting highly principled data science: A statistician’s job and joy," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 51-57.
    13. Lau, F. Din-Houn & Adams, Niall M. & Girolami, Mark A. & Butler, Liam J. & Elshafie, Mohammed Z.E.B., 2018. "The role of statistics in data-centric engineering," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 58-62.
    14. Sharples, Linda D., 2018. "The role of statistics in the era of big data: Electronic health records for healthcare research," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 105-110.
    15. Fassò, A. & Finazzi, F. & Madonna, F., 2018. "Statistical issues in radiosonde observation of atmospheric temperature and humidity profiles," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 97-100.
    16. Bivand, Roger & Krivoruchko, Konstantin, 2018. "Big data sampling and spatial analysis: “which of the two ladles, of fig-wood or gold, is appropriate to the soup and the pot?”," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 87-91.
    17. Vieu, Philippe, 2018. "On dimension reduction models for functional data," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 134-138.
    18. Chung, Moo K., 2018. "Statistical challenges of big brain network data," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 78-82.
    19. Faraway, Julian J. & Augustin, Nicole H., 2018. "When small data beats big data," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 142-145.
    20. Bartolucci, Francesco & Bacci, Silvia & Mira, Antonietta, 2018. "On the role of latent variable models in the era of big data," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 165-169.
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    Cited by:

    1. Olhede, Sofia C. & Wolfe, Patrick J., 2018. "The future of statistics and data science," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 46-50.

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