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.