Asymptotically Efficient Recursive Estimation of a Nonparametric Signal

We consider the problem of asymptotically efficient (in minimax sense) estimation of a signal at the output of a linear system using noisy observations with random error of an input signal from a nonparametric function set. The sought estimator is constructed from a recursive estimator of the input signal using Tukey pseudo-values.