Consistency of Wavelet Estimator of Regression Function under ρ-Mixing Assumptions
WU Li-sha
Abstract
WU Li-sha
Abstract
Consider a nonparametric regression model Yi=g(ti) +ei(1≤i≤n) ,where {ti} are fixed design points ,g is an un-knownfunction.Inthis paper ,let {ei} beρ-mixing dependent stationary sequences . Under suitable regularity conditions ,themean consistency of order r ,consistency,and strong consistency of wavelet estimator of g are obtained.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Consider a nonparametric regression model Yi=g(ti) +ei(1≤i≤n) ,where {ti} are fixed design points ,g is an un-knownfunction.Inthis paper ,let {ei} beρ-mixing dependent stationary sequences . Under suitable regularity conditions ,themean consistency of order r ,consistency,and strong consistency of wavelet estimator of g are obtained.
Key concepts: Consistency (knowledge bases), Estimator, Strong consistency, Mixing (physics), Regression function, Mathematics, Wavelet, Nonparametric regression