ABSTRACT
Back in Chapter 1, we presented the contrasting approaches to estimating a regression function:
Nonparametric methods, such as k-Nearest Neighbors, have the advantage of being model-free, and thus generally applicable.
Parametric models, if reasonably close to reality, are more powerful, generally yielding more accurate estimates of μ(t).
