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Exchangeably weighted bootstrap schemes

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  • Philippe van Kerm

    (LISER and University of Luxembourg)

Abstract

The exchangeably weighted bootstrap is one of the many variants of bootstrap resampling schemes. Rather than directly drawing observations with replacement from the data, weighted bootstrap schemes generate vectors of replication weights to form bootstrap replications. Various ways to generate the replication weights can be adopted and some choices bring practical computational advantages. This talk demonstrates how easily such schemes can be implemented and where they are particularly useful, and introduces the exbsample command which facilitates their implementation.

Suggested Citation

  • Philippe van Kerm, 2022. "Exchangeably weighted bootstrap schemes," London Stata Conference 2022 12, Stata Users Group.
  • Handle: RePEc:boc:lsug22:12
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    File URL: http://repec.org/lsug2022/uk2022_vankerm-handout.pdf
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