What's the pros/cons of splines approaches compared to locally weighted regression approaches for the purposes of (a) scatter plot smoothing and (b) prediction?
Obviously, in the case of prediction I assume that I have some "prior" that the data is smooth in some sense (otherwise, it makes no sense to use either of these techniques).
Initial discussion in this comment.
