We discuss future challenges in developing statistical theory for Random
Forests. In particular, we suggest that an analysis of bias and extrapolation is vital to
understanding the statistical properties of variable importance measures. We further
point to the incorporation of random forests within larger statistical models as an
important tool for high-dimensional statistical inference.

EB00000004192K

Available

• Comments on: A random forest guided tour