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Confidence Intervals for Random Forests:The Jackknife and the Infinitesimal Jackknife
bagging jackknife methods Monte Carlo noise variance estimation
2015/8/21
We study the variability of predictions made by bagged learners and random forests, and show how to estimate standard errors for these methods. Our work builds on variance estimates for bagging propos...
Landscape Ecology of Large Fires in Southwestern Forests, USA
Disturbance ecology Fire severity Forest recovery Landscape heterogeneity Plant succession Spatial pattern
2014/12/8
The recent increase in large fires in southwestern forests has prompted concern regarding their ecological consequences. Recognizing the importance of spatial patterns in influencing successional proc...
Variable importance in binary regression trees and forests
CART random forests maximal subtree
2009/9/16
We characterize and study variable importance (VIMP) and pairwise variable associations in binary regression trees. A key component involves the node mean squared error for a quantity we refer to as a...