EconPapers    
Economics at your fingertips  
 

Asymptotic Properties of Some Projection-based Robbins-Monro Procedures in a Hilbert Space

Xiaohong Chen () and Halbert White

University of California at San Diego, Economics Working Paper Series from Department of Economics, UC San Diego

Abstract: Let H be an infinite-dimentional real separable Hilbert space. Given an unknown mapping M : H (arrow) H that can only be observed with noise, we consider two modified Robbins-Monro procedures to estimate the zero point (theta) (subscript 0) ? 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, (theta)-dependent error processes.

Keywords: Hilbert; Space. (search for similar items in EconPapers)
Date: 2002-01-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
https://www.escholarship.org/uc/item/4z4380t7.pdf;origin=repeccitec (application/pdf)

Related works:
Journal Article: Asymptotic Properties of Some Projection-based Robbins-Monro Procedures in a Hilbert Space (2002) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cdl:ucsdec:qt4z4380t7

Access Statistics for this paper

More papers in University of California at San Diego, Economics Working Paper Series from Department of Economics, UC San Diego Contact information at EDIRC.
Bibliographic data for series maintained by Lisa Schiff ().

 
Page updated 2025-03-24
Handle: RePEc:cdl:ucsdec:qt4z4380t7