Method of Averaging Along Trajectories in Passive Stochastic Approximation (Linear Algorithm)

The problem of the recursive estimation of a root of a regression equation is considered in the situation of a passive experiment. The asymptotic behavior of kernel estimates of a stochastic approximation type with averaging along trajectories is studied. The asymptotic normality and optimality of such estimates are established in the class of algorithms without transformation of observations.