Statistics for big data: A perspective
Peter Bühlmann and
Sara van de Geer
Statistics & Probability Letters, 2018, vol. 136, issue C, 37-41
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.
Keywords: Heterogeneity; Lasso; Learning theory; Negative results; Replicability; Reproducibility (search for similar items in EconPapers)
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