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A scalable bootstrap for massive data

  • Published:2014-03-17 Issue:4 Volume:76 Page:795-816
  • ISSN:1369-7412
  • Container-title:Journal of the Royal Statistical Society: Series B (Statistical Methodology)
  • language:en
  • Short-container-title:J. R. Stat. Soc. B

Author:

Kleiner Ariel1,Talwalkar Ameet1,Sarkar Purnamrita1,Jordan Michael I.1

Affiliation:

1. University of California; Berkeley USA

Funder

National Science Foundation

U.S. Army Research Laboratory and U.S. Army Research Office

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference27 articles.

1. Some asymptotic theory for the bootstrap;Bickel;Ann. Statist.,1981

2. Resampling fewer than n observations: gains, losses, and remedies for losses;Bickel;Statist. Sin.,1997

3. Extrapolation and the bootstrap;Bickel;Sankhya A,2002

4. On the choice of m in the m out of n bootstrap and confidence bounds for extrema;Bickel;Statist. Sin.,2008

5. Richardson extrapolation and the bootstrap;Bickel;J. Am. Statist. Ass.,1988

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