Functional single-index quantile regression models

It is known that functional single-index regression models can achieve better prediction accuracy than functional linear models or fully nonparametric models, when the target is to predict a scalar response using a function-valued covariate. However, the performance of these models may be adversely...

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Veröffentlicht in:	Statistics and computing 2020-07, Vol.30 (4), p.771-781
Hauptverfasser:	Sang, Peijun, Cao, Jiguo
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Computer simulation Extreme values Mathematics and Statistics Model accuracy Probability and Statistics in Computer Science Regression models Statistical Theory and Methods Statistics Statistics and Computing/Statistics Programs
Online-Zugang:	Volltext
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