Statistics in the big data era: Failures of the machine

被引：29

作者：

Dunson, David B. ^{[1
]}

机构：

[1] Duke Univ, Dept Stat Sci, Durham, NC 27706 USA

来源：

STATISTICS & PROBABILITY LETTERS | 2018年 / 136卷

关键词：

Deep learning; High-dimensional data; Machine learning; Scientific inference; Selection bias; Uncertainty quantification;

D O I：

10.1016/j.spl.2018.02.028

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

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. (C) 2018 Published by Elsevier B.V.

引用

页码：4 / 9

页数：6

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