Lecturer
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Yin Hong
Lecturer
主Main research direction：High dimensional data analysis; Data Mining; Statisitcs analysis.
Office：Information building 335 8250-0692&yinhong@ruc.edu.cn
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Educational experience
2002, Mar.-2005, April Mathematics Department, Hong Kong Baptist University. Ph.D;
2000, Apri.-2005, June. School of Mathematics and Statistics, Wuhan University. Ph.D.
1996-2000, Mathematics Department Hubei Normal University, B. Sc. -
Work experience
From 2005---, School of Information, Renmin University of China.
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Scientific research achievements
☆ 王治政，吴卫星，殷弘, “耐用品长期风险模型的广义矩估计和可测性研究”， Journal of Applied Statisitcs and Management, 2016, 35(1): 179-190.
☆ 殷弘，肖争艳，刘卉灵，“基于改善的ADL模型的中国GDP增长率的研究与预测”，Mathematica Applicata, 2015,28(2):457-463.
☆ Xu Weizhi, Yin Hong and Jiang Lingyun, “An Efficient Dykstra-like Proximal Algorithm for Sense Model Signal Reconstruction”, Journal Of Mathematics, 2015, 35(4): 881-888.
☆ Yan Jun, Yin Hong, “Exponential Martingale Method to Pricing of Property Claim Services Option”, Mathematica Applicata, 2014, 27(1):152-156.
☆ Wang Baobin and Yin Hong, “Varying Quantile Regression with Online Scheme and Unbounded Sampling”, Journal Of Mathematics, 2014, 34(2):281-286.
☆ Yin Hong, Wang Baobin, “Penalized Partial Least Squares”, J. Of Math. 2013, 33(1):63-74.
☆ Zhao Shoujiang, Liu Qiaojing, Liu Fuxiang and Yin Hong, “Sharp Large Deviation for the Energy of a-Brownian Bridge”, International Journal of Stochastic Analysis, 2013.
☆ Yin Hong, Li Runze and Fang Kaitai, “Empirical Kriging models and their applications to QSAR”. Journal of Chemometrics. 2007, 20: 1-10.
☆ Peng Xiaoling, Yin Hong, Li Runze and Fang Kaitai, “The application of Kriging and empirical Kriging based on the variables selected by SCAD”. Analytica Chimica Acta.2006, 578(2):178-185.
☆ Fang Kaitai, Yin Hong and Liang Yizeng. “A New Approach by Kriging Models to Problems in QSAR”. J. Chem. Inf. Comput. Sci. 2004, 44(6):2106-13.
☆ Hu Qiannan, Liang Yizeng, Peng Xiaoling, Hong Yin and Fang Kaitai. “Structural Interpretation of a Topological Index. 1. External Factor Variable Connectivity Index (EFVCI)”. J. Chem. Inf. Comput. Sci. 2004(44):437-446.
☆ Hu Qiannan, Liang Yizeng, Yin Hong, Peng Xiaoling, Fang Kaitai, “Structure Interpretation of Topological Index (2) Molecular Connectivity Index, Kappa Index and E-State Index ”. J. Chem. Inf. Comput. Sci. 2004(44): 1193-1201.
☆Yin Hong, Liang Yizeng and Hu Qiannan. “Boiling Points Predictions Study via Dimension Reduction Methods: SIR, PCR and PLSR”. Journal of Data Science. 2003(1):461-480.