ORTHOGONAL SERIES ESTIMATES OF A REGRESSION FUNCTION WITH APPLICATIONS IN SYSTEM IDENTIFICATION

Nonparametric estimates of a regression function — based on orthogonal series — are investigated in the case that the domain points are nonrandom. Sufficient conditions for the almost sure convergence of estimates are given. An application of nonparametric regression methodology to the problem of identifying of linear dynamic systems is presented.