Translated Title
Partial Functional Linear Additive Quantile Regression Model
Translated Abstract
In this paper,we propose a partial functional linear additive quantile regression model,which combines additive quantile regression model with functional linear quantile regression model.The functional principal component analysis and B-splines are employed to estimate the slope function and the nonparametric additive functions,respectively,and the convergence rates of the estimators are obtained under some regularity conditions.Finally,simulation studies and a real data analysis are conducted to investigate the performance of the proposed methodology.
Translated Keyword
functional linear quantile regression model
functional principle component analysis
B-spline
Functional data analysis
additive quantile regression model
Access Number
WF:perioarticalxtkxysx-zw201705013
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