Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Local linear fitting under near epoch dependence: Uniform consistency with convergence rates|
|Citation:||Econometric Theory, 2012; 28(5):935-958|
|Publisher:||Cambridge Univ Press|
|School/Discipline:||School of Mathematical Sciences|
|Degui Li, Zudi Lu, Oliver Linton|
|Abstract:||Local linear fitting is a popular nonparametric method in statistical and econometric modeling. Lu and Linton (2007, Econometric Theory23, 37–70) established the pointwise asymptotic distribution for the local linear estimator of a nonparametric regression function under the condition of near epoch dependence. In this paper, we further investigate the uniform consistency of this estimator. The uniform strong and weak consistencies with convergence rates for the local linear fitting are established under mild conditions. Furthermore, general results regarding uniform convergence rates for nonparametric kernel-based estimators are provided. The results of this paper will be of wide potential interest in time series semiparametric modeling.|
|Rights:||© Cambridge University Press 2012|
|Appears in Collections:||Mathematical Sciences publications|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.