Bias-Corrected Bootstrap and Model Uncertainty
Harald Steck, Tommi Jaakkola · 2007
The bootstrap has become a popular method for exploring model (structure) uncertainty. Our experiments with artificial and realworld data demonstrate that the graphs learned from bootstrap samples can be severely biased towards too complex graphical models.