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Controlling Bias in Adaptive Data Analysis Using Information Theory

JMLR Workshop and Conference Proceedings, (2016): 1232-1240

Cited: 60|Views103
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Abstract

Modern big data settings often involve messy, high-dimensional data, where it is not clear a priori what are the right questions to ask. To extract the most insights from a dataset, the analyst typically needs to engage in an iterative process of adaptive data analysis. The choice of analytics to be performed next depends on the results o...More

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