Asymptotically efficient stochastic approximation
Han-Fu Chen · Stochastics and stochastics reports · 1993
Asymptotic efficiency of a stochastic approximation algorithm is proved under weak conditions: no growth rate restriction is imposed on the regression function; wide class of observation noises is treated. The algorithm considered in the paper is characterized by slow gain, truncations at randomly varying bounds and averaging.