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Statistics for big data: A perspective

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  • Bühlmann, Peter
  • van de Geer, Sara

Abstract

We look at the role of statistics in data science. Two statisticians, two views. Besides the need of developing appropriate concepts, methodology and algorithms, the first one makes a case for validation and carefully designed simulation studies, while the second one writes that a mathematical underpinning of methods is fundamental. Both views converge to the same point: there should be more room for publishing negative findings.

Suggested Citation

  • Bühlmann, Peter & van de Geer, Sara, 2018. "Statistics for big data: A perspective," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 37-41.
    • Handle: RePEc:eee:stapro:v:136:y:2018:i:c:p:37-41
    DOI: 10.1016/j.spl.2018.02.016
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    References listed on IDEAS

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    1. Zou, Hui, 2006. "The Adaptive Lasso and Its Oracle Properties," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1418-1429, December.
    2. Secchi, Piercesare, 2018. "On the role of statistics in the era of big data: A call for a debate," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 10-14.
    3. Jonas Peters & Peter Bühlmann & Nicolai Meinshausen, 2016. "Causal inference by using invariant prediction: identification and confidence intervals," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(5), pages 947-1012, November.
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    1. Agnes Andersson Djurfeldt & Ola Hall & Aida Isinika & Elibariki Msuya & Genesis Tambang Yengoh, 2020. "Sustainable Agricultural Intensification in Four Tanzanian Villages—A View from the Ground and the Sky," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
    2. Sarah Friedrich & Gerd Antes & Sigrid Behr & Harald Binder & Werner Brannath & Florian Dumpert & Katja Ickstadt & Hans A. Kestler & Johannes Lederer & Heinz Leitgöb & Markus Pauly & Ansgar Steland & A, 2022. "Is there a role for statistics in artificial intelligence?," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 16(4), pages 823-846, December.
    3. Pedro Galeano & Daniel Peña, 2019. "Data science, big data and statistics," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(2), pages 289-329, June.

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