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[91]He Yaoyao，Yan Yudong,Xu Qifa，Wind and solar power probability density prediction via fuzzy information granulation and support vector quantile regression.[J:International Journal of Electrical Power & Energy Systems,2019,113):515-527.
[92]He Yaoyao，Zheng Yaya,Xu Qifa，Forecasting energy consumption in Anhui province of China through two Box-Cox transformation quantile regression probability density methods.[J:Measurement,2019,136):579-593.
[93]Liu Xi，Yu Keming,Xu Qifa，Improved local quantile regression.[J:Statistical Modelling,2019,19(5):501-523.
[94]蔡超，许启发,蒋翠侠,王艳明，大规模数据的分块SCAD惩罚回归分析.[J:数理统计与管理,2018,37(6):1023-1040.
[95]Jiang Cuixia，Zhang Weiming,Li Mengting,Yang Shanlin，Xu Qifa，Does automatic bidding mechanism affect herding behavior? Evidence from online P2P lending in China.[J:Journal of Behavioral and Experimental Finance,2018,20):39-44.
[96]He Yaoyao，Xu Qifa,Wan Jinhong,Yang Shanlin，Electrical load forecasting based on self-adaptive chaotic neural network using Chebyshev map.[J:Neural Computing and Applications,2018,29(7):603-612.
[97]Cao Shubo，Xu Qifa,Jiang Cuixia,He Yaoyao，Conditional density forecast of China’s energy demand via QRNN model.[J:Applied Economics Letters,2018,25(12):867-875.
[98]黄荷暑，许启发，企业社会责任、银行信贷与投资行为——基于中介效应的检验.[J:商业经济与管理,2017(11):49-59+96.
[99]曹书波，蔡超,许启发，开放式基金市场羊群效应研究——基于QRNN-CCK模型的实证.[J:天津大学学报 (社会科学版),2017,19(5):399-406.
[100]蒋翠侠，黄韵华，许启发，基于Lasso二元选择分位数回归的上市公司信用评估.[J:系统工程,2017,35(2):16-24.
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