Rate of Convergence in Recursive Parameter Estimation procedures

TL;DR

This paper analyzes the convergence speed of recursive parameter estimation methods within general statistical models, providing insights into their efficiency and reliability.

Contribution

It offers a theoretical analysis of the convergence rates for recursive estimation procedures in broad statistical settings.

Findings

Derived convergence rate bounds for recursive estimators

Identified conditions ensuring optimal convergence speed

Provided theoretical foundations for recursive estimation reliability

Abstract

We consider estimation procedures which are recursive in the sense that each successive estimator is obtained from the previous one by a simple adjustment. We study rate of convergence of recursive estimation procedures for the general statistical model.