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[41]Xu Qifa，Cai Chao,Jiang Cuixia,Sun Fang,Huang Xue，Sampling lasso quantile regression for large-scale data.[J:Communications in Statistics - Simulation and Computation,2018,47(1):92-114.
[42]许启发，李辉艳，蒋翠侠，基于Copula-分位数回归的供应链金融多期贷款组合优化.[J:中国管理科学,2017,25(6):50-60.
[43]许启发，周莹莹，蒋翠侠，带有范数约束的CVaR高维组合投资决策.[J:中国管理科学,2017,25(2):40-49.
[44]许启发，徐金菊，蒋翠侠，基于神经网络分位数回归的多期CVaR风险测度.[J:数理统计与管理,2017,36(4):715-730.
[45]许启发，伯仲璞，蒋翠侠，基于分位数Granger因果的网络情绪与股市收益关系研究.[J:管理科学,2017,30(3):147-160.
[46]许启发，王陶,蒋翠侠,杨善林，电商卖家信用评分的多因素校正模型及有效性检验——以淘宝网为例.[J:软科学,2017,31(1):105-108+113.
[47]许启发，王侠英，蒋翠侠，城乡居民贫困脆弱性综合评价:来自安徽省的经验证据.[J:经济问题,2017(8):1-6.
[48]Xu Qifa，Deng Kai,Jiang Cuixia,Sun Fang,Huang Xue，Composite quantile regression neural network with applications.[J:Expert Systems with Applications,2017,76):129-139.
[49]许启发，蔡超，蒋翠侠，指令不均衡与股票收益关系研究——基于大规模数据分位数回归的实证.[J:中国管理科学,2016,24(12):20-29.
[50]许启发，康宁，蒋翠侠，分位数误差校正模型及应用.[J:数量经济技术经济研究,2016,33(10):110-127.
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