Autori
Jiang, Du
Hui, Zhao
Zhongzjan, Zhang

Titolo
Dynamic partially functional linear regression model
Periodico
Statistical methods & applications : Journal of the Italian Statistical Society
Anno: 2019 - Volume: 28 - Fascicolo: 4 - Pagina iniziale: 679 - Pagina finale: 693

In this paper, we develop a dynamic partially functional linear regression model inwhichthefunctionaldependentvariableisexplainedbythefirstorderlaggedfunctionalobservation and a finite number of real-valued variables. The bivariate slope functionis estimated by bivariate tensor-product B-splines. Under some regularity conditions,the large sample properties of the proposed estimators are established. We investigatethe finite sample performance of the proposed methods via Monte Carlo simulationstudies, and illustrate its usefulness by the analysis of the electricity consumption data.



SICI: 1618-2510(2019)28:4<679:DPFLRM>2.0.ZU;2-Y

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