A general bootstrap performance diagnostic

  title={A general bootstrap performance diagnostic},
  author={Ariel Kleiner and Ameet S. Talwalkar and Sameer Agarwal and Ion Stoica and Michael I. Jordan},
As datasets become larger, more complex, and more available to diverse groups of analysts, it would be quite useful to be able to automatically and generically assess the quality of estimates, much as we are able to automatically train and evaluate predictive models such as classifiers. However, despite the fundamental importance of estimator quality assessment in data analysis, this task has eluded highly automatic solutions. While the bootstrap provides perhaps the most promising step in this… CONTINUE READING

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Bootstrap diagnostics and remedies

A. J. Canty, A. C. Davison, D. V. Hinkley, V. Ventura
The Canadian Journal of Statistics, 34(1):5–27 • 2006
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