scholarly journals Quantile regression in varying-coefficient models: non-crossing quantile curves and heteroscedasticity

2016 ◽  
Vol 59 (4) ◽  
pp. 1589-1621 ◽  
Author(s):  
Y. Andriyana ◽  
I. Gijbels ◽  
A. Verhasselt
PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0240046
Author(s):  
ChunJing Li ◽  
Yun Li ◽  
Xue Ding ◽  
XiaoGang Dong

This paper propose a direct generalization quantile regression estimation method (DGQR estimation) for quantile regression with varying-coefficient models with interval censored data, which is a direct generalization for complete observed data. The consistency and asymptotic normality properties of the estimators are obtained. The proposed method has the advantage that does not require the censoring vectors to be identically distributed. The effectiveness of the method is verified by some simulation studies and a real data example.


2012 ◽  
Vol 6 (0) ◽  
pp. 1220-1238 ◽  
Author(s):  
Hohsuk Noh ◽  
Kwanghun Chung ◽  
Ingrid Van Keilegom

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