Complexity Approximation Principle and Rissanen's Approach to Real-Valued Parameters.

In this paper an application of the Complexity Approximation Principle to the non-linear regression is suggested. We combine this principle with the approximation of the complexity of a real-valued vector parameter proposed by Rissanen and thus derive a method for the choice of parameters in the non-linear regression. [ABSTRACT FROM AUTHOR]