Next: Classification trees
Up: Numerical Analysis for Statisticians
Previous: Non parametric Regression
These are nonparametric procedures for explaining
and/or predicting a response, either categorical
(then this is discriminant analysis or classification),
or continuous (then this is a nonparametric regression).
The explanatory variables used may be both categorical
and continuous, and it is this that makes the
method useful in contexts that would be too
complex to use analysis of covariance, for instance.
We will detail the classification
case more as the risk and criteria used
are less obvious than in regression,
where least squares is as usual the staple loss.