项思佳
哲学博士（Ph.D），副教授，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”，浙江省教育厅，2017.
Ø 发表的文章：
[1] Xiang, S., Yao, W., and Yang, G. (2019). An Overview of Semiparametric Extensions of Finite Mixture Models. Statistical Science, 34, 391-404 .
[2] 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.
[3] 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.
[4] Xiang, S. and Yao, W. (2018). Semiparametric mixtures of nonparametric regressions. Annals of the Institute of Mathematical Statistics. 70, 131-154.
[5] 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.
[6] 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.
[7] Xiang, S., Yao, W., andSeo, B.(2016). Semiparametric mixture: Continuous scale mixture approach. Computational Statistics & Data Analysis, 103, 413-425.
[8] 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.
[9] 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.
[10] 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.
[11] 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.
