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Correspondence

Name: Ya-Fen Ye

E-mail: yafenye@163.com

Phone: +86-0571-87317741(O)

Address: Zhijiang College, Zhejiang Univercity of Technology, Hangzhou 310024, China

Biography

Ya-Fen Ye received her Bachelor's degree in Department of Mathematics from Wenzhou Normal College, and received Doctor's degree in College of Statistics from Zhejiang Gongshang University, China, in 2005 and 2011, respectively. Currently, she is a lecturer at the Zhijiang College, Zhejiang University of Technology. Her research interests include economic statistics and machine learning.

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Research Interests

  • Dynamic Stochastic General Equilibrium (DSGE) Model and Application

    •        Bayesian Techniques of DSGE Model
             MCMC Simulation of DSGE Model
             DSGE Model Analyzing Monetary Policy Rule

    • Support Vector Machine and Application

      •         Twin Support Vector Regression
                Financial Conditions Index and Inflation Prediction by SVMs
                Dimensionality reduction and feature selection

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      Resources

    • TWSVM: A Matlab code for twin bounded SVM.

      Publications



    • Y.-F. Ye, Y.-H. Shao, N.-Y. Deng, C.-N. Li, X.-Y. Hua, Robust L p -norm least squares support vector regression with feature selection, Applied Mathematics and Computation , 2017(305).
    • Y.-F. Ye, L.-Bai, X.-Y. Hua, Y.-H. Shao, Z.-Wang, N.-Y. Deng, Weighted Lagrange ε-twin support vector regression , Neurocomputing, 2016(197).
    • Y.-H. Shao, Y.-F. Ye, Y.-C. Wang, N.-Y. Deng, Extensive semi-quantitative regression , Neurocomputing, 2016(218).
    • X.-Y. Hua, Z.-M. Yang, Y.-F. Ye, 金融空间联系与经济增长关系——基于江苏省县域的实证研究 , 经济地理, 2016(36>.
    • Z.-M. Yang, X.-Y. Hua, Y.-H. Shao, Y.-F. Ye, A novel parametric-insensitive nonparallel support vector machine for regression, Neurocomputing, 2015(171).
    • Y.-F. Ye, Y.-H. Shao, C.-N. Li, Wavelet Lp-Norm Support Vector Regression with FeatureSelection, Journal of Advanced Computational Intelligence and Intelligent Informatics , 2015(19).
    • Y.-F. Ye, Y.-X. Jiang, Y.-H. Shao, C.-N. Li, Financial Conditions Index Construction Through Weighted Lp-Norm Support Vector Regression, ournal of Advanced Computational Intelligence and Intelligent Informatics , 2015(19).
    • Z.M.-Yang, X.Y.-Hua, Y.-F. Ye, 金融空间联系及K-means聚类中心等级识别研究——以长三角为例, 地理科学 , 2015(35).
    • Z.M.-Yang, X.Y.-Hua, Y.-F. Ye, 金融空间联系与SOM神经网络中心等级识别——以浙江省县域为例, 经济地理 , 2014(34).
    • Y.-F. Ye, H.-Cao, M.-H. Zhou, 基于DSGE模型的中国货币政策规则适用性研究, 浙江工业大学学报 , 2014(42).
    • Y.-F. Ye, Y.-H. Shao, W.-J. Chen, Comparing inflation forecasts using an \epsilon-wavelet twin support vector regression, Journal of Information & Computational Science , 2013(5).
    • W.-J.Chen, Y.-H. Shao, Y.-F. Ye, 基于特征值分解的最大间隔支持向量回归机, 控制与决策 , 2013(28).
    • Z.-M.Yang,X.Y.Hua, Y.-H. Shao, Y.-F. Ye, 外商直接投资空间联系研究——以浙江省为例, 经济地理 , 2013(33).
    • Y.-F. Ye, B. Xu, Exchange rate flexibility and monetary policy in china: simulation evidence, International Journal of Innovative Management, Information & Production, , 2012(3):43-52.
    • Y.-F. Ye, B. Xu, Financial structure and economic growth: A nonparametric assessment, International Conference on Innovative Computing, Information and control, ICIC, , 2009:1144-1147.
    • L. Xu, Y.-F. Ye,Monetary Policy Rules and House Price in Chinese Economy, the 5the International Conference on Computer Sciences and Convergence Information Technology ICCIT, , 2010:935-938.
    • B. Xu, Y.-F. Ye,Chinese Real Estate Sector Under Precommitment and Discretion Money Policy Rule, Mathematics and Computers in Science and Engineering, , 2009:19-24.
    • N. Jin, Y.-F. Ye,Estimating a Dynamic Stochastic General Equilibrium Model for China: a Bayesian Approach, Proceeding of the 10th International Conference on Intelligent Technologies, , 2009.
    • N. Jin, Y.-F. Ye, Estimation of reporting tax errors for Chinese personal income based on errors-in-variables model, the Second International Conference on Innovative Computing, Information and control, ICIC, , 2007.

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