王涛 - 上海交通大学 - 生命科学技术学院

个人简介

2007年东南大学数学系学士，2010年华东师范大学金融与统计学院硕士，2013年获香港浸会大学数学系统计学专业哲学博士学位。2014年赴美国耶鲁大学公共卫生学院生物统计系从事博士后研究工作，2016年1月回国任上海交通大学特别研究员。主要致力于研究高维复杂数据的统计降维技术和变量选择技术，以及研究生物医学数据的统计分析方法。近年来分别在Journal of the Royal Statistical Society: Series B、Biometrika、Biometrics、Bernoulli、Statistics and Computing、Statistica Sinica等知名学术期刊上发表SCI论文近二十篇。

研究领域

1.统计方法与理论：充分性降维、变量选择、半参数回归、高维数据分析 2.生物统计应用：人类微生物组数据分析、组学数据分析

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Guo X, Wang T, Zhu L: Model checking for parametric single-index models: a dimension reduction model-adaptive approach. Journal of the Royal Statistical Society: Series B (accepted) 2015 Wang T, Chen M, Zhao H: Extracting DNA methylation values by joint modeling of multiple profiles. Biometrics (accepted) 2015 Xu P, Zhang J, Huang X, Wang T: Efficient estimation for marginal generalized partially linear single-index models with longitudinal data. Test (accepted) 2015 Wang T, Wen X, Zhu L: Multiple-population sufficient dimension reduction. Statistics and Computing (accepted) 2015 Wang T, Zhang J, Liang H, Zhu L: Estimation of a groupwise additive multi-index model and its applications. Statistica Sinica 2015, 25(2):551–567 Xu P, Wang T, Zhu H, Zhu L: Double penalized H-likelihood for selection of fixed and random effects in mixed effects models. Statistics in Biosciences 2015, 7:108–128 Wang T, Xu P, Zhu L: Variable selection and estimation for semi-parametric multiple index models. Bernoulli 2015, 21:242–275 Wang T, Zhu L: A distribution-based LASSO for a general single-index model. Science China Mathematics 2015, 58:109–130 Wang T, Guo X, Xu P, Zhu L: Transformed sufficient dimension reduction. Biometrika 2014, 101(4):815–829 Feng Z, Wang T, Zhu L: Transformation-based estimation. Computational Statistics and Data Analysis 2014, 78:186–205 Niu C, Guo X, Wang T, Xu P: Regret theory and the competitive firm: A comment. Economic Modelling 2014, 41:312–315 Guo X, Wang T, Xu W, Zhu L: Dimension reduction with missing response at random. Computational Statistics and Data Analysis 2014, 69:228–242 Wang T, Xu P, Zhu L: Penalized minimum average variance estimation. Statistica Sinica 2013, 23(2):543–569 Wang T, Zhu L: Sparse sufficient dimension reduction using optimal scoring. Computational Statistics and Data Analysis 2013, 57:223–232 Zhang J, Wang T, Zhu L, Liang H: A dimension reduction based approach for estimation and variable selection in partially linear single-index models with high-dimensional covariates. Electronic Journal of Statistics 2012, 6:2235–2273 Wang T, Xu P, Zhu L: Non-convex penalized estimation in high-dimensional models with single-index structure. Journal of Multivariate Analysis 2012, 109:221–235 Zhu L, Wang T, Zhu L: Sufficient dimension reduction in regressions with missing predictors. Statistica Sinica 2012, 22(4):1611–1637 Wang T, Zhu L: Consistent tuning parameter selection in high dimensional sparse linear regression. Journal of Multivariate Analysis 2011, 102(7):1141–1151 Zhu L, Wang T, Zhu L, Ferre L: Sufficient dimension reduction through discretization expectation estimation. Biometrika 2010, 97(2):295–304