Neural Networks for Partially Linear Quantile Regression

Deep learning has enjoyed tremendous success in a variety of applications but its application to quantile regressions remains scarce. A major advantage of the deep learning approach is its flexibility to model complex data in a more parsimonious way than nonparametric smoothing methods. However, whi...

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Bibliographische Detailangaben

Hauptverfasser:	Zhong, Qixian, Wang, Jane-Ling
Format:	Artikel
Sprache:	eng
Schlagworte:	Mathematics - Statistics Theory Statistics - Theory
Online-Zugang:	Volltext bestellen
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