Bias and Variance of Bagging based on Subsampling with

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Bias and Variance of Bagging based on Subsampling
with without Replacement Andreas Buja
Werner Stuetzle Statistics Department
Statistics Department The Wharton School
Adjunct Professor, CSE
University of Pennsylvania
University of Washington Supported by NSF
grant DMS-9803226. Research performed while on
sabbatical at ATT Labs Research Research
motivated by Friedman Hall paper On Bagging
and Nonlinear Estimation" (available on the Web)
and a counter-example to one of F H's claims
due to Yoram Gatt.
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With repl. g n/m W/o repl. g n/m -
1 Equivalence n/mwi n/mw/o-1
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