Bagging an estimator approximately doubles its bias through the impact of bagging on quadratic terms in expansions of the estimator. This difficulty can be alleviated by bagging a suitably ...
Rubin & Schenker (1986) proposed the approximate Bayesian bootstrap, a two-stage resampling procedure, as a method of creating multiple imputations when missing data are ignorable. Kim (2002) showed ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback