一、基本信息

姓名：项思佳

性别：女

学历/学位：研究生/博士

职称：副教授

联系方式：sjxiang@zufe.edu.cn

二、个人简历和主要研究方向

哲学博士（Ph.D），副教授，硕士生导师

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)

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）

主持的项目：

国家社会科学基金，基于高维混合模型的聚类分析的统计推断及其应用研究，主持，20万

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

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.

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, 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 Mathematical Statistics. 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., andSeo, 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 estimationfor 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 weightgain of commercial feedlot cattle. The Journal of Animal Science, 91, 2910-2919.