Resampling (statistics)

Known as: Bootstrap methods, Jackknife estimator, Permutation tests 
In statistics, resampling is any of a variety of methods for doing one of the following: 1. * Estimating the precision of sample statistics (medians… (More)
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Highly Cited
2008
Highly Cited
2008
In this paper we study noisy sorting without re-sampling. In this problem there is an unknown order {display equation} where π is… (More)
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Highly Cited
2008
Highly Cited
2008
Typical pseudo-relevance feedback methods assume the top-retrieved documents are relevant and use these pseudo-relevant documents… (More)
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Highly Cited
2006
Highly Cited
2006
In this paper a comparison is made between four frequently encountered resampling algorithms for particle filters. A theoretical… (More)
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Highly Cited
2005
Highly Cited
2005
MOTIVATION In genomic studies, thousands of features are collected on relatively few samples. One of the goals of these studies… (More)
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Highly Cited
2005
Highly Cited
2005
In this paper, we propose novel resampling algorithms with architectures for efficient distributed implementation of particle… (More)
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Highly Cited
2005
Highly Cited
2005
This contribution is devoted to the comparison of various resampling approaches that have been proposed in the literature on… (More)
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Highly Cited
2004
Highly Cited
2004
Newly developed resampling algorithms for particle filters suitable for real-time implementation are described and their analysis… (More)
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Highly Cited
2003
Highly Cited
2003
The burgeoning field of genomics has revived interest in multiple testing procedures by raising new methodological and… (More)
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Highly Cited
2000
Highly Cited
2000
Classi cation modeling (a.k.a. supervised learning) is an extremely useful analytical technique for developing predictive and… (More)
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Highly Cited
1997
Highly Cited
1997
A new false discovery rate controlling procedure is proposed for multiple hypotheses testing. The procedure makes use of… (More)
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