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姚卫鑫


时间:2016-06-12    浏览量:721    

  • 系所:经济学院
  • 民族:
  • 党派:
  • 职务:暨南讲座教授(统计学)
    • 个人简介:
    • 加州大学河滨分校副教授,研究生主管
    • 学习经历:
    • 200708  月毕业于 宾夕法尼亚州立大学统计系

       

    • 工作经历:
    • 2007-2013 堪萨斯州立统计系终身制助理教授

      2013-2014堪萨斯州立统计系终身副教授

      2014-     加州大学河滨分校终身副教授

    • 研究方向:
    • 混合模型,半参数模型,稳健统计方法,高维数据分析,纵向/面板据分析

    • 主要论文:
    • 1. Cao, J. and Yao, W.* (2012). Semiparametric mixture of binomial regression with a degenerate component. Statistica Sinica, 22, 27-46.

      2. Wang, Q. and Yao, W.* (2012). An adaptive estimation of MAVE. Journal of Multivariate Analysis, 104, 88-100.

      3. Bai, X., Yao, W.*, and Boyer, J. E. (2012). Robust fitting of mixture regression models. Computational Statistics and Data Analysis, 56, 2347-2359.

      4. Yao, W.* (2012). Model based labeling for mixture models. Statistics and Computing, 22, 337-347.

      5. Huang, M. and Yao, W.* (2012). Mixture of regression models with varying mixing proportions: A semiparametric approach. Journal of the American Statistical Association, 107, 711-724.

      6. Yao, W. and Wang, Q.* (2013). Robust variable selection through MAVE. Computational Statistics and Data Analysis, 63, 42-49.

      7. Yao, W. and Li, R.* (2013). New local estimation procedure for nonparametric regression function of longitudinal data. Journal of the Royal Statistical Society, Ser B, 75, 123-138.

      8. Yao, W.*, Wei, Y., and Yu, C. (2014). Robust Mixture Regression Using T-Distribution. Computational Statistics and Data Analysis, 71, 116-127.

      9. Song, W.*, Yao, W., and Xing Y. (2014). Robust mixture regression model fitting by laplace distribution. Computational Statistics and Data Analysis, 71, 128-137.

      10. Huang, M., Li, R., and Wang, H., and Yao, W. (2014). Estimating Mixture of Gaussian Processes by Kernel Smoothing. Journal of Business and Economics Statistics, 32, 259-270.                                                                 

      11. Chen, Y., Wang, Q., and Yao, W.* (2015). Adaptive Estimation for Varying Coefficient Models. Journal of Multivariate Analysis, 137, 17-31.

      12. Ma, Y. and Yao, W.* (2015). Flexible Estimation of A Semiparametric Two-component Mixture Model With One Parametric Component. Electronic Journal of Statistics, 9, 444-474.

      13. Wu, Q.* and Yao, W. (2015). Mixtures of quantile regressions. Computational Statistics and Data Analysis. In press.

      14. Yao, W.* and Li, L. (2014). A New Regression Model: Modal linear regression. Scandinavian Journal of Statistics, 41, 656-671.

      Yao, W.* (2010). A profile likelihood method for normal mixture with unequal variance. Journal of Statistical Planning and Inference, 140, 2089-2098.