Parametric regression is regression in which the relation between predictors and a response is assumed to have a specified functional form depending on a finite-dimensional parameter vector. A model may be written
where the data are used to estimate . Linear regression
and many forms of nonlinear regression are parametric (Bates and Watts 1988). In
contrast, symbolic regression searches over
the functional form as well as its parameters.