Adaptive choice of bootstrap sample sizes

By Friedrich Götze, Alfredas Rackauskas. 2001

47 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/31015a691c677a8606b175263d2707dd1ad5ba15

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In Artificial Intelligence

1. M. C Pun
2. Stephen M. S. Lee

In Statistics and Probability

1. M. C Pun
2. Stephen M. S. Lee
3. Cms Collaboration

Citations in the corpus

• On m out of n Bootstrapping for Nonstandard M-Estimation With Nuisance Parameters (2006, methodology): “Assuming the existence of Edgeworth expansions of a certain type, Sakov (1998) and Götze and Račkauskas (2001) determined the optimal bootstrap sample size by minimizing a distance measure, such as the Kolmogorov distance, between a pair of m out of n bootstrap distributions calculated using two dis”