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    姓名:项思佳

    项思佳

    哲学博士(Ph.D),教授,硕士生导师

    邮箱:sjxiang@zufe.edu.cn

    Ø 最终学历:

    2012.06 2014.05, 美国堪萨斯州立大学, 统计学博士, (4.0/4.0)    

    2010.08 2012.05, 美国堪萨斯州立大学, 统计学硕士, (4.0/4.0)  

    Ø 研究方向:

    混合模型(mixture model)

    非参数、半参数估计(nonparametric/semiparametric estimation)

    稳健估计(robust estimation)

    数据降维(dimension reduction)

    Ø 主持的项目:

    国家社科基金,基于高维混合模型的聚类分析的统计推断,主持,20

    国家自然科学基金,半参数混合模型及变量选择研究,主持,20万

    浙江省自然科学基金,混合模型的半参数扩展及其变量选择的研究,主持,5万

    浙江省统计研究课题 ,混合模型的新估计方法及其应用的研究,主持,1万

    半参数估计在混合模型中的应用,留学回国人员科研启动基金,主持,3万元

    浙江省教育厅科研项目,混合模型的半参数扩展及其应用的研究,主持,1万

    Ø 入选人才情况

    “浙江省高校中青年学科带头人”

    “浙江省高校领军人才培养计划青年优秀人才”

    Ø 发表的文章:

    1. Xiang, S., Yao, W. (2020). Semiparametric mixtures of regressions with single-index for model based clustering. Advances in Data Analysis and Classification, 14, 261-292.

    2. Xiang, S., Yao, W., and Yang, G. (2019). An Overview of Semiparametric Extensions of Finite Mixture Models. Statistical Science, 34(3), 391-404.

    3. Xu, L., Xiang, S., and Yao, W. (2019). Robust maximum Lq-likelihood estimation of joint mean-covariance models for longitudinal data. Journal of Multivariate Analysis, 171, 397-411.

    4. Yang, G., Yao, W., and Xiang, S. (2019). Sure independence screening in ultrahigh dimensional generalized additive models. Journal of Statistical Planning and Inference, 199, 126-135.

    5. Xiang, S. And Yao, W. (2018). Semiparametric Mixtures of Nonparametric Regressions. Annals of the institute of statistical mathematics, 70, 131-154.

    6. Wu, J., Yao, W., and Xiang, S. (2017). Computation of an efficient and robust estimator in a semiparametric mixture model, Journal of Statistical Computation and Simulation, 87, 2128-2137.

    7. Yang, L., Xiang, S. and Yao, W. (2017). Robust fitting of mixtures of factor analyzers using the trimmed likelihood estimator. Communications in Statistics - Simulation and Computation, 42(2), 1280-1291.

    8. Xiang, S., Yao, W. and Seo, B. (2016). Semiparametric mixture: Continuous scale mixture approach. Computational Statistics & Data Analysis, 103, 413-425.

    9. Xiang, S. and Yao, W. (2016). A new information criterion based bandwidth selection method for nonparametric regressions. Journal of Statistical Computation and Simulation, 86(17), 3446-3455.

    10. Li, M., Xiang, S. and Yao, W. (2016). Robust estimation of the number of components for mixtures of linear regression models. Computational Statistics, 31(4), 1539-1555.

    11. Xiang, S., Yao, W. and Wu, J. (2014). Minimum profile Hellinger distance estimation for a semiparametric mixture model. The Canadian Journal of Statistics, 42(2), 246-267.

    12. Cernicchiaro, N., Renter, D.G., Xiang, S., White, B.J. and Bello, N.M. (2013). Hierarchical Bayesian modeling of heterogeneous variances in average daily weight gain of commercial feedlot cattle. The Journal of Animal Science, 91, 2910-2919.

    13. Xiang, S., Yao, W. and Wu, J. (2014). Minimum profile Hellinger distance estimationfor a semiparametric mixture model. The Canadian Journal of Statistics, 42(2), 246-267.

    14. Cernicchiaro, N., Renter, D.G., Xiang, S., White, B.J. and Bello, N.M. (2013).Hierarchical Bayesian modeling of heterogeneous variances in average daily weightgain of commercial feedlot cattle. The Journal of Animal Science, 91, 2910-2919.

     



     

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