Asymptotic Properties of Some Projection-based Robbins-Monro Procedures in a Hilbert Space
Abstract
Let H be an infinite-dimensional real separable Hilbert space. Given an unknown mapping M:H (r)H that can only be observed with noise, we consider two modified Robbins-Monro procedures to estimate the zero point ?o ( H of M. These procedures work in appropriate finite dimensional sub-spaces of growing dimension. Almost-sure convergence, functional central limit theorem (hence asymptotic normality), law of iterated logarithm (hence almost-sure loglog rate of convergence), and mean rate of convergence are obtained for Hilbert space-valued mixingale, (-dependent error processes.
Recommended Citation
Xiaohong Chen and Halbert White
(2002)
"Asymptotic Properties of Some Projection-based Robbins-Monro Procedures in a Hilbert Space",
Studies in Nonlinear Dynamics & Econometrics:
Vol. 6:
No. 1,
Article 1.
http://www.bepress.com/snde/vol6/iss1/art1
