Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-27T18:49:54.495Z Has data issue: false hasContentIssue false

NONPARAMETRIC ESTIMATION OF ADDITIVE NONLINEAR ARX TIME SERIES: LOCAL LINEAR FITTING AND PROJECTIONS

Published online by Cambridge University Press:  01 August 2000

Zongwu Cai
Affiliation:
University of North Carolina at Charlotte
Elias Masry
Affiliation:
University of California at San Diego

Abstract

We consider the estimation and identification of the components (endogenous and exogenous) of additive nonlinear ARX time series models. We employ a local polynomial fitting scheme coupled with projections. We establish the weak consistency (with rates) and the asymptotic normality of the projection estimates of the additive components. Expressions for the asymptotic bias and variance are given.

Type
Research Article
Copyright
© 2000 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)