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[51]许启发，陈士俊,蒋翠侠,刘曦，极端VaR风险测度的新方法：QRNN+POT.[J:系统工程学报,2016,31(1):33-44.
[52]许启发，贾俊颖,蒋翠侠,杨善林，基于门限分位数回归的网上商品销量影响因素探析.[J:商业经济与管理,2016(7):5-14.
[53]Xu Qifa，Liu Xi,Jiang Cuixia,Yu Keming，Quantile autoregression neural network model with applications to evaluating value at risk.[J:Applied Stochastic Models in Business and Industry,2016,46):1-12.
[54]Xu Qifa，Liu Xi,Jiang Cuixia,Yu Keming，Nonparametric conditional autoregressive expectile model via neural network with applications to estimating financial risk.[J:Applied Stochastic Models in Business and Industry,2016,32(6):882-908.
[55]Xu Qifa，Zhou Yingying,Jiang Cuixia,Yu Keming,Niu Xufeng，A large CVaR-based portfolio selection model with weight constraints.[J:Economic modelling,2016,59):436-447.
[56]Xu Qifa，Jiang Cuixia,He Yaoyao，An exponentially weighted quantile regression via SVM with application to estimating multiperiod VaR.[J:Statistical Methods & Applications,2016,25(2):285-320.
[57]许启发，康宁，门限分位数自回归模型及在股市收益自相关分析中应用.[J:系统工程理论与实践,2015,35(12):2993-3007.
[58]许启发，张金秀，蒋翠侠，基于非线性分位数回归模型的多期VaR风险测度.[J:中国管理科学,2015,23(3):56-65.
[59]Xu Qifa，Niu Xufeng,Jiang Cuixia,Huang Xue，The Phillips curve in the US: A nonlinear quantile regression approach.[J:Economic Modelling,2015,49):186-197.
[60]Xu Qifa，Zhang Jinxiu,Jiang Cuixia,Huang Xue,He Yaoyao，Weighted quantile regression via support vector machine.[J:Expert Systems with Applications,2015,42(13):5441-5451.
total124 6/13
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