Statistics in the big data era: Failures of the machine

David B. Dunson

Statistics & Probability Letters, 2018, vol. 136, issue C, 4-9

Abstract: There is vast interest in automated methods for complex data analysis. However, there is a lack of consideration of (1) interpretability, (2) uncertainty quantification, (3) applications with limited training data, and (4) selection bias. Statistical methods can achieve (1)-(4) with a change in focus.

Keywords: Deep learning; High-dimensional data; Machine learning; Scientific inference; Selection bias; Uncertainty quantification (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (11)

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DOI: 10.1016/j.spl.2018.02.028

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