王占锋副教授介绍
姓名
王占锋


工作单位
中国科学技术大学

学位/职称
博士/副教授

办公室电话


Email
zfw@ustc.edu.cn

教育背景
分别于2003年和2008年获得中国科学技术大学学士和理学博士学位

研究方向
统计渐近理论，生物统计，函数型数据分析等

任职经历


主持、参与项目
曾主持国家自然科学青年基金和国家自然科学基金面上项目各一项，主持安徽省自然科学基金项目一项

个人获奖


代表性论著
Wang, Z., Liu, X., Tang, W. and Lin, Y. (2020). Incorporating graphical structure of predictors in sparse quantile regression. Journal of Business & Economic Statistics, Doi: 10.1080/**.2020.**.
Chen, Z., Wang, Z. and Chang, Y. (2020). Sequential adaptive variables and subject selection for GEE methods. Biometrics, 76: 496-507.
Wang, Z., Ding, H., Chen, Z. and Shi, J. (2020). Nonparametric random effects functional regression model using Gaussian process priors. Statistica Sinica, 30: 1-27.
Li, J., Chen, Z., Wang, Z. and Chang, Y. (2020). Active learning in multiple-class classification problems. Computational Statistics and Data Analysis, 145, 106911, Doi: 10.1016/j.csda.2020.106911.
Liu, X., Wang, Z. and Wu, Y. (2019). Distribution approximation of shrinkage estimate in censored regression model via randomly weighting method. Acta Mathematicae Applicatae Sinica, 35: 421-434.
Wang, Z., Ding, J, Sun, L. and Wu, Y. (2018). Tobit quantile regression of left-censored longitudinal data with informative observation times. Statistica Sinica, 28: 527 - 548.
Wang, Z., Chen, Z. and Chen, Z. (2018). H-relative error estimation for multiplicative regression model with random effect. Computational Statistics, 33: 623-638.
Wang, Z., Shi, J. and Lee Y. (2017). Extended t-process regression models. Journal of Statistical Planning and Inference, 189: 38-60.
Chen, K., Lin, Y., Wang, Z. and Ying, Z. (2016). Least product relative error estimation. Journal of Multivariate Analysis,144: 91-98.
Wang, Z., Liu, W. and Lin, Y. (2015). A change-point problem in relative error-based regression. TEST, 24, 835-856.