Testing linearity in the single functional index model for dependent data

Kwo Lik Chan, Aldo GOIA

Risultato della ricerca: Capitolo in libro/report/atti di convegnoContributo in volume (Capitolo o Saggio)peer review

Abstract

Motivated by checking the linearity assumption in the regression model with functional covariate and real response in the case of dependent data, a new test for the single functional index model is introduced. The critical region of the test is derived by a bootstrap procedure. The finite sample performances of the test are evaluated by a simulation study and an application in the framework of functional time series forecasting is performed.
Lingua originaleInglese
Titolo della pubblicazione ospite14th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, Volume: Statistical Models and Learning Methods for Complex Data (CLADAG 2023)
Stato di pubblicazioneIn press - 27 lug 2024

Fingerprint

Entra nei temi di ricerca di 'Testing linearity in the single functional index model for dependent data'. Insieme formano una fingerprint unica.

Cita questo