On recurrent estimation of autoregression parameters

Sufficient conditions for covergence almost surely of algorithms which estimate the parameters of a linear dynamic process described by autoregression equations. The observation errors are assumed to have a limited moment of fixed order $\nu, \nu\geqslant2$. The proposed approach requires studies of the asymptotic behavior of probabilities of large deviations.